WO2025005774A1 - Method for providing image, and electronic device for supporting same - Google Patents

Abstract

An electronic device according to one embodiment may comprise a memory and at least one processor. The at least one processor can be configured to: acquire a first image; select, on the basis of a generation time of a first image and/or a generation location of the first image, included in metadata of the first image, one or more second images from among a plurality of images stored in the memory; acquire a third image by changing the value of at least one attribute from among values of a plurality of attribute values of the first image on the basis of a user input; and acquire one or more fourth images by changing values of a plurality of attributes of each of the one or more second images on the basis of the values of the plurality of attributes of the third image.

Description

Method for providing images and electronic devices supporting the same

The present disclosure relates to a method for providing an image and an electronic device supporting the same.

Electronic devices such as smart phones provide a function to edit images. For example, the electronic device can acquire an image through a camera or acquire an image from a memory (or an external electronic device). The electronic device can edit (e.g., correct) the acquired image by changing the properties of the acquired image based on a user input using an image editing program. For example, the electronic device can provide a filter function that can change the properties of an image (e.g., an original image). While displaying an image, the electronic device can display thumbnail images representing a plurality of filters that can change the properties of the image (e.g., can provide a filter function). When a thumbnail image is selected from among the thumbnail images based on a user input, the electronic device can edit the image by applying a filter corresponding to the selected thumbnail image to the displayed image.

The above information may be provided as related art for the purpose of assisting in understanding the present disclosure. No claim or determination is made as to whether any of the above is applicable as prior art related to the present disclosure.

The electronic device performs an editing operation on each of the plurality of images in order to edit the plurality of images. For example, the electronic device individually performs an editing operation on image 1 and an editing operation on image 2 in order to edit image 1 and image 2.

If there is an image preferred by the user, the user may want to apply properties of the image to other images (e.g., multiple images similar to the image) at once. Or, after correcting one image, the user may want to apply properties of the corrected image to other images at once. Accordingly, the electronic device may need to provide a function that allows the properties of the image preferred by the user or properties of an image corrected by the user to be applied to other images at once.

The present disclosure relates to a method for providing an image, which can apply properties of an image (e.g., an image selected by a user input) to other images at once, and an electronic device supporting the same.

The technical problems to be achieved by the present disclosure are not limited to the technical problems mentioned above, and other technical problems not mentioned will be clearly understood by a person having ordinary skill in the art related to this document from the description below.

In one embodiment, an electronic device may include a memory and at least one processor. The at least one processor may be configured to acquire a first image. The at least one processor may be configured to select one or more second images from among a plurality of images stored in the memory based on at least one of a generation time of the first image or a generation location of the first image included in metadata of the first image. The at least one processor may be configured to acquire a third image by changing a value of at least one attribute from among values of a plurality of attributes of the first image based on a user input. The at least one processor may be configured to acquire one or more fourth images by changing values of the plurality of attributes of each of the one or more second images based on the values of the plurality of attributes of the third image.

In one embodiment, a method for providing an image in an electronic device may include an operation of acquiring a first image. The method may include an operation of selecting one or more second images from among a plurality of images stored in a memory of the electronic device based on at least one of a generation time of the first image or a generation location of the first image included in metadata of the first image. The method may include an operation of acquiring a third image by changing a value of at least one attribute from among values of a plurality of attributes of the first image based on a user input. The method may include an operation of acquiring one or more fourth images by changing values of the plurality of attributes of each of the one or more second images based on the values of the plurality of attributes of the third image.

In one embodiment, the electronic device may include a camera, a display, a memory, and at least one processor. The at least one processor may be configured to determine, based on a first image acquired through the camera, whether a condition for storing a second image acquired through the camera in a raw file format is satisfied. The at least one processor may be configured to display, through the display, guide information for storing the second image in the raw file format when acquiring the second image, based on determining that the condition is satisfied. The at least one processor may be configured to store the second image in the raw file format in the memory, based on acquiring the second image through the camera after displaying the guide information.

In one embodiment, a non-transitory computer-readable medium having computer-executable instructions recorded thereon may cause an electronic device to obtain a first image, when executed by at least one processor. The computer-executable instructions, when executed by the at least one processor, may cause the electronic device to select one or more second images from among a plurality of images stored in the memory based on at least one of a generation time of the first image or a generation location of the first image included in metadata of the first image. The computer-executable instructions, when executed by the at least one processor, may cause the electronic device to obtain a third image by changing a value of at least one of a plurality of attributes of the first image based on a user input. The computer-executable instructions, when executed by the at least one processor, may cause the electronic device to obtain one or more fourth images by changing values of the plurality of attributes of each of the one or more second images based on the values of the plurality of attributes of the third image.

FIG. 1 is a block diagram of an electronic device within a network environment, according to one embodiment.

FIG. 2 is a block diagram of an electronic device according to one embodiment.

FIG. 3 is a flowchart illustrating a method of providing an image according to one embodiment.

FIGS. 4A and 4B are drawings for explaining a method of providing an image according to one embodiment.

FIGS. 5A and 5B are drawings for explaining a method of providing an image according to one embodiment.

FIG. 6 is a flowchart illustrating a method of providing an image according to one embodiment.

FIG. 7 is a diagram illustrating a method for providing an image according to one embodiment.

FIG. 8 is a flowchart illustrating a method of providing an image according to one embodiment.

FIG. 9 is a diagram for explaining a method for providing an image according to one embodiment.

FIG. 10 is a flowchart illustrating a method of providing an image according to one embodiment.

FIG. 11 is a diagram for explaining a method for providing an image according to one embodiment.

FIG. 12 is a diagram for explaining a method of storing an image according to one embodiment.

FIG. 13 is a flowchart illustrating a method of providing an image according to one embodiment.

FIG. 14 is a drawing for explaining a method of correcting an image saved in a raw file format according to one embodiment.

FIGS. 15A and 15B are drawings for explaining a method of correcting an image saved in a raw file format according to one embodiment.

Hereinafter, embodiments of the present disclosure will be described in detail with reference to the drawings so that those skilled in the art can easily implement the present disclosure. However, the present disclosure may be implemented in various different forms and is not limited to the embodiments described herein. In connection with the description of the drawings, the same or similar reference numerals may be used for the same or similar components. In addition, in the drawings and related descriptions, descriptions of well-known functions and configurations may be omitted for clarity and conciseness.

FIG. 1 is a block diagram of an electronic device (101) within a network environment (100), according to one embodiment.

Referring to FIG. 1, in a network environment (100), an electronic device (101) may communicate with an electronic device (102) via a first network (198) (e.g., a short-range wireless communication network), or may communicate with at least one of an electronic device (104) or a server (108) via a second network (199) (e.g., a long-range wireless communication network). According to one embodiment, the electronic device (101) may communicate with the electronic device (104) via the server (108). According to one embodiment, the electronic device (101) may include a processor (120), a memory (130), an input module (150), an audio output module (155), a display module (160), an audio module (170), a sensor module (176), an interface (177), a connection terminal (178), a haptic module (179), a camera module (180), a power management module (188), a battery (189), a communication module (190), a subscriber identification module (196), or an antenna module (197). In some embodiments, the electronic device (101) may omit at least one of these components (e.g., the connection terminal (178)), or may have one or more other components added. In some embodiments, some of these components (e.g., the sensor module (176), the camera module (180), or the antenna module (197)) may be integrated into one component (e.g., the display module (160)).

The processor (120) may control at least one other component (e.g., a hardware or software component) of the electronic device (101) connected to the processor (120) by executing, for example, software (e.g., a program (140)), and may perform various data processing or calculations. According to one embodiment, as at least a part of the data processing or calculations, the processor (120) may store a command or data received from another component (e.g., a sensor module (176) or a communication module (190)) in the volatile memory (132), process the command or data stored in the volatile memory (132), and store result data in the nonvolatile memory (134). According to one embodiment, the processor (120) may include a main processor (121) (e.g., a central processing unit or an application processor) or an auxiliary processor (123) (e.g., a graphic processing unit, a neural processing unit (NPU), an image signal processor, a sensor hub processor, or a communication processor) that can operate independently or together therewith. For example, if the electronic device (101) includes a main processor (121) and a secondary processor (123), the secondary processor (123) may be configured to use lower power than the main processor (121) or to be specialized for a given function. The secondary processor (123) may be implemented separately from the main processor (121) or as a part thereof.

The auxiliary processor (123) may control at least a portion of functions or states associated with at least one of the components of the electronic device (101) (e.g., the display module (160), the sensor module (176), or the communication module (190)), for example, on behalf of the main processor (121) while the main processor (121) is in an inactive (e.g., sleep) state, or together with the main processor (121) while the main processor (121) is in an active (e.g., application execution) state. In one embodiment, the auxiliary processor (123) (e.g., an image signal processor or a communication processor) may be implemented as a part of another functionally related component (e.g., a camera module (180) or a communication module (190)). In one embodiment, the auxiliary processor (123) (e.g., a neural network processing device) may include a hardware structure specialized for processing artificial intelligence models. The artificial intelligence models may be generated through machine learning. Such learning may be performed, for example, in the electronic device (101) itself on which the artificial intelligence model is executed, or may be performed through a separate server (e.g., server (108)). The learning algorithm may include, for example, supervised learning, unsupervised learning, semi-supervised learning, or reinforcement learning, but is not limited to the examples described above. The artificial intelligence model may include a plurality of artificial neural network layers. The artificial neural network may be one of a deep neural network (DNN), a convolutional neural network (CNN), a recurrent neural network (RNN), a restricted Boltzmann machine (RBM), a deep belief network (DBN), a bidirectional recurrent deep neural network (BRDNN), deep Q-networks, or a combination of two or more of the above, but is not limited to the examples described above. In addition to the hardware structure, the artificial intelligence model may additionally or alternatively include a software structure.

The memory (130) can store various data used by at least one component (e.g., processor (120) or sensor module (176)) of the electronic device (101). The data can include, for example, software (e.g., program (140)) and input data or output data for commands related thereto. The memory (130) can include volatile memory (132) or nonvolatile memory (134).

The program (140) may be stored as software in memory (130) and may include, for example, an operating system (142), middleware (144), or an application (146).

The input module (150) can receive commands or data to be used in a component of the electronic device (101) (e.g., a processor (120)) from an external source (e.g., a user) of the electronic device (101). The input module (150) can include, for example, a microphone, a mouse, a keyboard, a key (e.g., a button), or a digital pen (e.g., a stylus pen).

The audio output module (155) can output an audio signal to the outside of the electronic device (101). The audio output module (155) can include, for example, a speaker or a receiver. The speaker can be used for general purposes such as multimedia playback or recording playback. The receiver can be used to receive an incoming call. According to one embodiment, the receiver can be implemented separately from the speaker or as a part thereof.

The display module (160) can visually provide information to an external party (e.g., a user) of the electronic device (101). The display module (160) can include, for example, a display, a holographic device, or a projector and a control circuit for controlling the device. According to one embodiment, the display module (160) can include a touch sensor configured to detect a touch, or a pressure sensor configured to measure the intensity of a force generated by the touch.

The audio module (170) can convert sound into an electrical signal, or vice versa, convert an electrical signal into sound. According to one embodiment, the audio module (170) can obtain sound through an input module (150), or output sound through an audio output module (155), or an external electronic device (e.g., an electronic device (102)) (e.g., a speaker or a headphone) directly or wirelessly connected to the electronic device (101).

The sensor module (176) can detect an operating state (e.g., power or temperature) of the electronic device (101) or an external environmental state (e.g., user state) and generate an electric signal or data value corresponding to the detected state. According to one embodiment, the sensor module (176) can include, for example, a gesture sensor, a gyro sensor, a barometric pressure sensor, a magnetic sensor, an acceleration sensor, a grip sensor, a proximity sensor, a color sensor, an IR (infrared) sensor, a biometric sensor, a temperature sensor, a humidity sensor, or an illuminance sensor.

The interface (177) may support one or more designated protocols that may be used to directly or wirelessly connect the electronic device (101) with an external electronic device (e.g., the electronic device (102)). According to one embodiment, the interface (177) may include, for example, a high definition multimedia interface (HDMI), a universal serial bus (USB) interface, an SD card interface, or an audio interface.

The connection terminal (178) may include a connector through which the electronic device (101) may be physically connected to an external electronic device (e.g., the electronic device (102)). According to one embodiment, the connection terminal (178) may include, for example, an HDMI connector, a USB connector, an SD card connector, or an audio connector (e.g., a headphone connector).

The haptic module (179) can convert an electrical signal into a mechanical stimulus (e.g., vibration or movement) or an electrical stimulus that a user can perceive through a tactile or kinesthetic sense. According to one embodiment, the haptic module (179) can include, for example, a motor, a piezoelectric element, or an electrical stimulation device.

The camera module (180) can capture still images and moving images. According to one embodiment, the camera module (180) can include one or more lenses, image sensors, image signal processors, or flashes.

The power management module (188) can manage power supplied to the electronic device (101). According to one embodiment, the power management module (188) can be implemented as, for example, at least a part of a power management integrated circuit (PMIC).

The battery (189) can power at least one component of the electronic device (101). In one embodiment, the battery (189) can include, for example, a non-rechargeable primary battery, a rechargeable secondary battery, or a fuel cell.

The communication module (190) may support establishment of a direct (e.g., wired) communication channel or a wireless communication channel between the electronic device (101) and an external electronic device (e.g., the electronic device (102), the electronic device (104), or the server (108)), and performance of communication through the established communication channel. The communication module (190) may operate independently from the processor (120) (e.g., the application processor) and may include one or more communication processors that support direct (e.g., wired) communication or wireless communication. According to one embodiment, the communication module (190) may include a wireless communication module (192) (e.g., a cellular communication module, a short-range wireless communication module, or a GNSS (global navigation satellite system) communication module) or a wired communication module (194) (e.g., a local area network (LAN) communication module or a power line communication module). Among these communication modules, a corresponding communication module may communicate with an external electronic device (104) via a first network (198) (e.g., a short-range communication network such as Bluetooth, wireless fidelity (WiFi) direct, or infrared data association (IrDA)) or a second network (199) (e.g., a long-range communication network such as a legacy cellular network, a 5G network, a next-generation communication network, the Internet, or a computer network (e.g., a LAN or WAN)). These various types of communication modules may be integrated into a single component (e.g., a single chip) or implemented as multiple separate components (e.g., multiple chips). The wireless communication module (192) may use subscriber information (e.g., an international mobile subscriber identity (IMSI)) stored in the subscriber identification module (196) to identify or authenticate the electronic device (101) within a communication network such as the first network (198) or the second network (199).

The wireless communication module (192) can support a 5G network and next-generation communication technology after a 4G network, for example, NR access technology (new radio access technology). The NR access technology can support high-speed transmission of high-capacity data (eMBB (enhanced mobile broadband)), terminal power minimization and connection of multiple terminals (mMTC (massive machine type communications)), or high reliability and low latency (URLLC (ultra-reliable and low-latency communications)). The wireless communication module (192) can support, for example, a high-frequency band (e.g., mmWave band) to achieve a high data transmission rate. The wireless communication module (192) may support various technologies for securing performance in a high-frequency band, such as beamforming, massive multiple-input and multiple-output (MIMO), full dimensional MIMO (FD-MIMO), array antenna, analog beam-forming, or large scale antenna. The wireless communication module (192) may support various requirements specified in an electronic device (101), an external electronic device (e.g., an electronic device (104)), or a network system (e.g., a second network (199)). According to one embodiment, the wireless communication module (192) may support a peak data rate (e.g., 20 Gbps or more) for eMBB realization, a loss coverage (e.g., 164 dB or less) for mMTC realization, or a U-plane latency (e.g., 0.5 ms or less for downlink (DL) and uplink (UL) each, or 1 ms or less for round trip) for URLLC realization.

The antenna module (197) can transmit or receive signals or power to or from the outside (e.g., an external electronic device). According to one embodiment, the antenna module (197) can include an antenna including a radiator formed of a conductor or a conductive pattern formed on a substrate (e.g., a PCB). According to one embodiment, the antenna module (197) can include a plurality of antennas (e.g., an array antenna). In this case, at least one antenna suitable for a communication method used in a communication network, such as the first network (198) or the second network (199), can be selected from the plurality of antennas by, for example, the communication module (190). A signal or power can be transmitted or received between the communication module (190) and the external electronic device through the selected at least one antenna. According to some embodiments, in addition to the radiator, another component (e.g., a radio frequency integrated circuit (RFIC)) can be additionally formed as a part of the antenna module (197).

According to various embodiments, the antenna module (197) may form a mmWave antenna module. According to one embodiment, the mmWave antenna module may include a printed circuit board, an RFIC disposed on or adjacent a first side (e.g., a bottom side) of the printed circuit board and capable of supporting a designated high-frequency band (e.g., a mmWave band), and a plurality of antennas (e.g., an array antenna) disposed on or adjacent a second side (e.g., a top side or a side) of the printed circuit board and capable of transmitting or receiving signals in the designated high-frequency band.

At least some of the above components may be interconnected and exchange signals (e.g., commands or data) with each other via a communication method between peripheral devices (e.g., a bus, a general purpose input and output (GPIO), a serial peripheral interface (SPI), or a mobile industry processor interface (MIPI)).

In one embodiment, commands or data may be transmitted or received between the electronic device (101) and an external electronic device (104) via a server (108) connected to a second network (199). Each of the external electronic devices (102, or 104) may be the same or a different type of device as the electronic device (101). In one embodiment, all or part of the operations executed in the electronic device (101) may be executed in one or more of the external electronic devices (102, 104, or 108). For example, when the electronic device (101) is to perform a certain function or service automatically or in response to a request from a user or another device, the electronic device (101) may, instead of or in addition to executing the function or service itself, request one or more external electronic devices to perform at least a part of the function or service. One or more external electronic devices that have received the request may execute at least a part of the requested function or service, or an additional function or service related to the request, and transmit the result of the execution to the electronic device (101). The electronic device (101) may process the result as is or additionally and provide it as at least a part of a response to the request. For this purpose, for example, cloud computing, distributed computing, mobile edge computing (MEC), or client-server computing technology may be used. The electronic device (101) may provide an ultra-low latency service by using, for example, distributed computing or mobile edge computing. In another embodiment, the external electronic device (104) may include an IoT (Internet of Things) device. The server (108) may be an intelligent server using machine learning and/or a neural network. According to one embodiment, the external electronic device (104) or the server (108) may be included in the second network (199). The electronic device (101) can be applied to intelligent services (e.g., smart home, smart city, smart car, or healthcare) based on 5G communication technology and IoT-related technology.

An electronic device according to an embodiment disclosed in this document may be a device of various forms. The electronic device may include, for example, a portable communication device (e.g., a smartphone), a computer device, a portable multimedia device, a portable medical device, a camera, a wearable device, or a home appliance device. The electronic device according to an embodiment of this document is not limited to the above-described devices.

It should be understood that the embodiments of this document and the terminology used herein are not intended to limit the technical features described in this document to specific embodiments, but include various modifications, equivalents, or substitutes of the embodiments. In connection with the description of the drawings, similar reference numerals may be used for similar or related components. The singular form of a noun corresponding to an item can include one or more of the items, unless the context clearly dictates otherwise. In this document, each of the phrases "A or B", "at least one of A and B", "at least one of A or B", "A, B, or C", "at least one of A, B, and C", and "at least one of A, B, or C" can include any one of the items listed together in the corresponding phrase, or all possible combinations thereof. Terms such as "first", "second", or "first" or "second" may be used merely to distinguish one component from another, and do not limit the components in any other respect (e.g., importance or order). When a component (e.g., a first) is referred to as "coupled" or "connected" to another (e.g., a second) component, with or without the terms "functionally" or "communicatively," it means that the component can be connected to the other component directly (e.g., wired), wirelessly, or through a third component.

The term "module" used in one embodiment of this document may include a unit implemented in hardware, software or firmware, and may be used interchangeably with terms such as logic, logic block, component, or circuit, for example. A module may be an integrally configured component or a minimum unit of the component or a portion thereof that performs one or more functions. For example, according to one embodiment, a module may be implemented in the form of an application-specific integrated circuit (ASIC).

An embodiment of the present document may be implemented as software (e.g., a program (140)) including one or more instructions stored in a storage medium (e.g., an internal memory (136) or an external memory (138)) readable by a machine (e.g., an electronic device (101)). For example, a processor (e.g., a processor (120)) of the machine (e.g., the electronic device (101)) may call at least one instruction among the one or more instructions stored from the storage medium and execute it. This enables the machine to operate to perform at least one function according to the at least one called instruction. The one or more instructions may include code generated by a compiler or code executable by an interpreter. The machine-readable storage medium may be provided in the form of a non-transitory storage medium. Here, "non-transitory" means only that the storage medium is a tangible device and does not contain signals (e.g., electromagnetic waves), and the term does not distinguish between cases where data is stored semi-permanently or temporarily on the storage medium.

According to one embodiment, the method according to one embodiment disclosed in the present document may be provided as included in a computer program product. The computer program product may be traded between a seller and a buyer as a commodity. The computer program product may be distributed in the form of a machine-readable storage medium (e.g., a compact disc read only memory (CD-ROM)), or may be distributed online (e.g., downloaded or uploaded) via an application store (e.g., Play Store ^TM ) or directly between two user devices (e.g., smart phones). In the case of online distribution, at least a part of the computer program product may be at least temporarily stored or temporarily generated in a machine-readable storage medium, such as a memory of a manufacturer's server, a server of an application store, or an intermediary server.

According to one embodiment, each component (e.g., a module or a program) of the above-described components may include a single or multiple entities, and some of the multiple entities may be separated and arranged in other components. According to one embodiment, one or more of the components or operations of the above-described components may be omitted, or one or more other components or operations may be added. Alternatively or additionally, the multiple components (e.g., a module or a program) may be integrated into one component. In such a case, the integrated component may perform one or more functions of each of the multiple components identically or similarly to those performed by the corresponding component of the multiple components before the integration. According to one embodiment, the operations performed by the module, program, or other component may be executed sequentially, in parallel, repeatedly, or heuristically, or one or more of the operations may be executed in a different order, omitted, or one or more other operations may be added.

FIG. 2 is a block diagram of an electronic device (201) according to one embodiment.

Referring to FIG. 2, in one embodiment, the electronic device (201) may be the electronic device (101) of FIG. 1.

In one embodiment, the electronic device (201) may include a display (210), a camera (220), memory (230), and/or a processor (240).

In one embodiment, the display (210) may be included in the display module (160) of FIG. 1.

In one embodiment, the display (210) may display a screen including an image (e.g., a still image and/or a moving image). For example, the display (210) may display an execution screen of a camera application (e.g., a screen including a preview image acquired through the camera (220)) based on the execution of the camera application. For example, the display (210) may display an execution screen of an image application (e.g., a gallery application) or an application for image editing (e.g., a photo editor) based on the execution of the image application.

In one embodiment, the camera (220) may be included in the camera module (180) of FIG. 1.

In one embodiment, the camera (220) can acquire an image (e.g., a still image or a moving image) based on values set for image acquisition (e.g., image capture) (hereinafter, also referred to as “camera setting values”).

In one embodiment, camera settings may include exposure value (EV), shutter speed, International Organization for Standardization (ISO) value (also referred to as “ISO sensitivity”), white balance (WB) (also referred to as “color temperature”), and/or focus information.

In one embodiment, the camera settings can be set (or adjusted) based on user input. For example, the camera settings can be set by default. The camera settings set by default can be adjusted based on user input.

In one embodiment, the camera settings can be set (or adjusted) based on an image acquired through the camera (220). For example, at least a portion of the camera settings (e.g., ISO value, shutter speed) can be set (or adjusted) based on a shooting environment (e.g., ambient brightness of the camera (220), amount of light sensed by the camera (220)) analyzed based on a preview image acquired through the camera (220).

In one embodiment, the memory (230) may be included in the memory (130) of FIG. 1.

In one embodiment, the memory (230) can store an image. For example, the memory (230) can store an image acquired through the camera (220). For example, the memory (230) can store a corrected image if the image stored in the memory (230) has been corrected. For example, the memory (230) can store an image received from an external electronic device (e.g., the electronic device (102), the electronic device (104)) through a communication circuit (e.g., the communication module (190) of FIG. 1).

In one embodiment, the memory (230) may store information for performing an operation of providing an image. The information that the memory (230) stores for performing an operation of providing an image will be described in detail later.

In one embodiment, the processor (240) may be included in the processor (120) of FIG. 1.

In one embodiment, the processor (240) may control the overall operation of providing an image. The processor (240) may include one or more processors for performing the operation of providing an image. The operation of providing an image performed by the processor (240) will be described in detail with reference to the drawings of FIG. 3 and below.

In FIG. 2, the electronic device (201) is exemplified as including a display (210), a camera (220), a memory (230), and/or a processor (240), but is not limited thereto. For example, the electronic device (201) may further include at least one of the components included in the electronic device (101) of FIG. 1 (e.g., a communication module (190)).

FIG. 3 is a flowchart (300) for explaining a method of providing an image according to one embodiment.

Referring to FIG. 3, in operation 301, in one embodiment, the processor (240) may acquire a first image.

In one embodiment, the first image may be an image that serves as a reference for correcting one or more images (hereinafter referred to as the “first image”). For example, the first image may be an image having a value of an attribute for correcting one or more images.

In one embodiment, the processor (240) may obtain the first image based on a user input for selecting a first image from among a plurality of images stored in the memory (230). For example, the processor (240) may display a plurality of images stored in the memory (230) through the display (210) based on executing an image application (e.g., a gallery application). The processor (240) may obtain the first image by selecting the first image from among the plurality of images based on the user input. However, the operation of obtaining the first image is not limited to the example described above. For example, the processor (240) may obtain an image (e.g., a captured image) through the camera (220). The processor (240) may obtain the first image by determining the image obtained through the camera (220) as the first image that serves as a reference for correcting one or more images.

In operation 303, in one embodiment, the processor (240) may select one or more second images from among a plurality of images stored in the memory (230) based on metadata of the first image.

In one embodiment, the one or more second images may be one or more images to be corrected based on the first image (hereinafter referred to as "one or more second images"). For example, the one or more second images may be one or more images to be corrected based on the first image (e.g., attribute values of the first image).

In one embodiment, metadata of an image (e.g., a first image) may include a unique identifier (ID) of the image, a title (or name) of the image, a creation time of the image, a creation location of the image, and/or information about editing (or correction) of the image (e.g., an identifier of a filter applied to the image, an attribute value of the filter). However, information included in the metadata of the image is not limited to the examples described above.

In one embodiment, metadata of an image (e.g., a first image) may be combined with data of the image (image data) and created as a single file, or may be created as a separate file from the data of the image and stored in memory (230).

In one embodiment, the processor (240) may select one or more second images from among a plurality of images stored in the memory (230) based on a creation time of the first image and/or a creation location of the first image, which are included in the metadata of the first image.

In one embodiment, the creation time of the first image, included in the metadata of the first image, may include the date and time the first image was taken (e.g., 10:35 a.m. on February 14, 2024).

In one embodiment, the processor (240) may select one or more second images acquired (e.g., captured by the camera (220)) within a specified time range (hereinafter, also referred to as “specified time range”) based on the creation time of the first image (e.g., creation date and creation time of the first image) included in the metadata of the first image, from among the plurality of images stored in the memory (230). For example, the processor (240) may check the creation times of each of the plurality of images included in the metadata of the plurality of images stored in the memory (230). The processor (240) may, based on the generation times of each of the plurality of images, select, as one or more second images, images that were generated (e.g., photographed) during a time range from the generation time of the first image to a time specified (e.g., about 5 minutes) before the generation time of the first image and/or during a time range from the generation time of the first image to a time specified after the generation time of the first image.

In one embodiment, the specified time range may be a default specified time range. In one embodiment, the processor (240) may specify a time range for selecting one or more second images based on a creation time of the first image included in the metadata of the first image, based on a user input.

In one embodiment, the location of creation of the first image, included in the metadata of the first image, may include information about the location where the first image was taken. For example, the location of creation of the first image may include the latitude and longitude of the location where the first image was taken, the address of the location where the first image was taken, and/or the location of the location where the first image was taken.

In one embodiment, the processor (240) may select one or more second images acquired (e.g., photographed through the camera (220)) within a specified distance (e.g., radius) (hereinafter, also referred to as “specified distance”) based on a generation location of a first image included in metadata of the first image, from among the plurality of images stored in the memory (230). For example, the processor (240) may identify the generation locations of each of the plurality of images included in metadata of the plurality of images stored in the memory (230). Based on the generation locations of each of the plurality of images, the processor (240) may select, from among the plurality of images, images generated (e.g., photographed) at a location within a specified radius from the generation location of the first image, as one or more second images.

In one embodiment, the specified distance may be a default specified distance. In one embodiment, the processor (240) may specify a distance for selecting one or more second images based on a creation location of the first image included in the metadata of the first image, based on a user input.

In one embodiment, the processor (240) may select, from among a plurality of images stored in the memory (230), one or more first images acquired (e.g., photographed) within a time range specified based on a generation location of the first image included in metadata of the first image and acquired within a specified distance based on a generation location of the first image included in metadata of the first image.

In the above examples, it is described, but not limited to, that one or more second images are selected from among a plurality of images stored in the memory (230) based on metadata of the first image (e.g., creation time and/or creation location of the first image).

In one embodiment, the processor (240) may select one or more second images from among a plurality of images stored in the memory (230) based on an object included in the first image. For example, the processor (240) may detect information about an object included in the first image (e.g., a type of the object and/or a subject represented by the object) using an object detection algorithm or a designated artificial intelligence model. The processor (240) may select, from among a plurality of images stored in the memory (230), images that include an object corresponding to the same subject (e.g., a person, an animal, an object) as the object included in the first image (e.g., represented by the object), as one or more second images.

In one embodiment, the processor (240) may select one or more second images from among a plurality of images stored in the memory (230) based on a creation time of the first image and/or a creation location of the first image included in metadata of the first image and an object included in the first image.

In operation 305, in one embodiment, the processor (240) may obtain a third image by correcting the first image based on user input.

In one embodiment, the third image may be an image (hereinafter referred to as a "third image") obtained (e.g., generated) by changing at least one attribute value among the values of the plurality of attributes of the first image. For example, the third image may be an image having a plurality of attribute values in which at least some of the plurality of attribute values of the first image are changed.

In one embodiment, the plurality of properties of the image (e.g., the first image) may include exposure, brightness, contrast (also referred to as “contrast”), highlight, shadow, chroma, color temperature, tint, sharpness, and/or clarity. However, the plurality of properties of the image are not limited to the examples described above.

In one embodiment, the values of the plurality of attributes of the image (the first image) may be values for representing (e.g., expressing) degrees (e.g., levels) of the plurality of attributes of the image.

In one embodiment, the processor (240) may display, through the display (210), an object (e.g., a graphic object) (or a user interface) for setting (e.g., adjusting) a plurality of attribute values of the first image based on the acquisition of the first image. In one embodiment, the processor (240) may adjust the plurality of attribute values of the first image based on a user input for the object for setting the plurality of attribute values of the first image. For example, the processor (240) may adjust the plurality of attribute values of the first image (e.g., intensities corresponding to the plurality of attribute values of the first image) based on the user input for the object for setting the plurality of attribute values of the first image. The processor (240) may acquire a third image by adjusting the plurality of attribute values of the first image. However, the operation of obtaining the third image by changing at least one attribute value among the plurality of attribute values of the first image is not limited to the examples described above. For example, the processor (240) may obtain the third image by applying a filter (e.g., a filter that can apply a specified visual effect or a specified style to the image) to the first image.

In FIG. 3, operation 303 is illustrated as being performed prior to operation 305, but is not limited thereto. For example, the processor (240) may perform operation 303 after performing operation 305.

In operation 307, in one embodiment, the processor (240) may obtain one or more fourth images by correcting one or more second images based on the third image.

In one embodiment, the processor (240) can obtain one or more fourth images by changing (e.g., adjusting) values of the plurality of attributes of each of the one or more second images based on values of the plurality of attributes of the third image. For example, the processor (240) can change values of the plurality of attributes of the one or more second images to change the one or more second images into one or more fourth images having values of the plurality of attributes that are the same as values of the plurality of attributes of the third image. However, the present invention is not limited thereto. For example, the processor (240) can change values of the plurality of attributes of the one or more second images to change the one or more second images into one or more fourth images having values of the plurality of attributes that are the same as some of the values of the plurality of attributes of the third image. For example, the processor (240) can change the plurality of attribute values of one or more of the second images to one or more fourth images having attribute values that are identical to the attribute values adjusted based on the user input among the plurality of attribute values of the third image.

In one embodiment, the one or more fourth images may be images (hereinafter referred to as "one or more fourth images") obtained (e.g., generated) by applying values of a plurality of attributes of the third image to each of one or more second images (e.g., attributes of the one or more second images). For example, if the one or more second images include image 1 and image 2, the processor (240) may obtain image 3 by applying values of a plurality of attributes of the third image to image 1, and may obtain image 4 by applying values of a plurality of attributes of the third image to image 2. In this case, image 3 and image 4 may be included in the one or more fourth images.

In one embodiment, the processor (240) can obtain one or more fourth images by correcting one or more second images at a time based on the third image. For example, the processor (240) can obtain one or more fourth images by sequentially correcting one or more second images based on the third image. For example, the processor (240) can obtain one or more fourth images by performing operations of correcting each of the one or more second images based on the third image in parallel. For example, the processor (240) can obtain one or more fourth images by correcting one or more second images based on the third image without additional user input.

In the examples described above, one or more second images are corrected based on a third image obtained by correcting the first image, but this is not limited thereto. In one embodiment, the processor (240) may obtain one or more fourth images by correcting one or more second images based on the first image if no user input for correcting the first image is obtained after the first image is obtained in operation 301. For example, the processor (240) may obtain one or more fourth images by applying values of a plurality of properties of the first image to one or more second images if no user input for correcting the first image is obtained after the first image is obtained (e.g., if the user does not want to correct the first image).

In one embodiment, the processor (240) may acquire, in addition to the one or more second images, one or more fourth images. For example, the processor (240) may store the one or more fourth images in the memory (230) without deleting the one or more second images from the memory (230) based on acquiring the one or more fourth images based on the one or more second images. However, the present invention is not limited thereto. For example, the processor (240) may store, in the memory (230), information for restoring the one or more second images from the one or more fourth images and the one or more fourth images, and delete the one or more second images from the memory (230). For example, the processor (240) may store one or more of the fourth images in the memory (230) based on acquiring one or more of the fourth images, and store one or more of the second images in the memory (230) without storing information for restoring one or more of the second images from the one or more of the fourth images in the memory (230).

Although not illustrated in FIG. 3, in one embodiment, the processor (240) may display one or more fourth images through the display (210). For example, the processor (240) may display an execution screen of a gallery application including thumbnail images corresponding to one or more fourth images through the display (210).

FIGS. 4A and 4B are drawings for explaining a method of providing an image according to one embodiment.

Referring to FIGS. 4A and 4B , in one embodiment, at reference numeral 401, the processor (240) may display a screen (410) including a plurality of images (e.g., images (411, 412, 413)) stored in the memory (230) through the display (210) based on the execution of the gallery application. For example, the processor (240) may display a plurality of images (e.g., images (411, 412, 413)) stored in the memory (230) in the form of thumbnails through the display (210) based on the execution of the gallery application. While the plurality of images (e.g., images (411, 412, 413)) are displayed, the processor (240) may select a first image (411) from among the plurality of images (e.g., images (411, 412, 413)) based on a user input. The processor (240) may display an object (411-1) indicating that the first image (411) is selected within the first image (411) through the display (210) based on the selection of the first image (411) from among a plurality of images (e.g., images (411, 412, 413)).

In one embodiment, the processor (240) may display an object (or menu) for selecting one or more second images from among a plurality of images stored in the memory (230) based on metadata of the first image (e.g., a creation time of the first image and/or a creation location of the first image included in the metadata of the first image) (and/or an object included in the first image) based on the selection of the first image (or based on a user input after the selection of the first image (411)), on the display (210). For example, in reference numeral 401, the processor (240) may display a window (414) including objects corresponding to functions related to the first image (411) through the display (210) based on the selection of the first image (411). The processor (240) may perform an operation of selecting one or more second images from among the plurality of images stored in the memory (230) based on metadata of the first image, based on a user input of selecting an object (415) for selecting one or more second images from among the plurality of images stored in the memory (230) among the objects included in the window (414).

In one embodiment, at reference numeral 402, the processor (240) may display, through the display (210), a screen (420) including a first image (411) and one or more second images (e.g., images (421, 422, 423)) displayed in thumbnail form, based on selection of one or more second images (e.g., images (421, 422, 423)).

In one embodiment, the processor (240) may display, through the display (210), objects (e.g., objects (421-1, 422-1, 423-1)) indicating that one or more of the second images (e.g., images (421, 422, 423)) are selected as targets of correction with respect to the first image (411) within one or more of the second images (e.g., images (421, 422, 423)).

In one embodiment, the processor (240) can deselect at least some of the one or more second images (e.g., images (421, 422, 423)) based on user input for at least some of the one or more second images (e.g., images (421, 422, 423)) after the one or more second images (e.g., images (421, 422, 423)) have been selected. For example, the processor (240) can deselect the image (421) (e.g., exclude the image (421) from being corrected based on the first image (411)) based on user input for the image (421) after the image (421) has been selected. The processor (240) can control the display (210) to cause the object (421-1) to disappear within the image (421) when the selection for the image (421) is deactivated.

In one embodiment, at reference numerals 402 and 403, the processor (240) may display, through the display (210), a screen (430) including objects (e.g., objects (432)) for editing the first image (411), together with the first image (411) and one or more second images (e.g., images (421, 422, 423)) displayed in thumbnail form, based on a user input for an object (425) (e.g., an icon) for editing the first image (411).

In one embodiment, at reference numerals 403 and 404, the processor (240) may display, through the display (210), a screen (440) including objects (or user interfaces) for adjusting values of a plurality of attributes of the first image (411), together with the first image (411) and one or more second images (e.g., images (421, 422, 423)) displayed in thumbnail form, based on a user input for an object (432) for correcting the first image (411). For example, the processor (240) may display, through the display (210), an object (441) representing exposure, a bar-shaped object (441-1), and an object (441-2) movable on the object (441-1) based on user input (also referred to as a “slider”) in order to adjust the exposure of the first image (411). For example, the processor (240) may display, through the display (210), an object (442) representing brightness, a bar-shaped object (442-1), and an object (442-2) movable on the object (441-1) based on user input.

In one embodiment, the processor (240) can adjust a value of an attribute of the first image (411) based on a user input. In one embodiment, the processor (240) can adjust a value of an exposure (e.g., an intensity of an exposure) of the first image (411) by moving a position of the object (441-2) on the object (441-1) based on the user input. For example, the processor (240) can increase a value of an exposure (e.g., an attribute representing the brightness of an entire area of the first image (411)) of the first image (411) based on a drag input to the object (441-2) to move a position of the object (441-2) set as default on the object (441-1) to the right (e.g., a central position of the object (441-1)). For example, the processor (240) may decrease the exposure value of the first image (411) based on a drag input to the object (441-2) to move the position of the object (441-2) set as default on the object (441-1) to the left. In one embodiment, the processor (240) may adjust the brightness value of the first image (411) (e.g., an attribute representing the brightness of an area having a brightness value below a threshold brightness value within the first image (411)) by moving the position of the object (442-2) on the object (442-1) based on the user input.

In one embodiment, the processor (240) can adjust values of at least some of the plurality of attributes of the first image (411) by analyzing the first image (411) based on user input for the object (445). For example, the processor (240) can automatically adjust values of at least some of the plurality of attributes of the first image (411) so that the first image (411) has optimized attribute values based on user input for the object (445).

In one embodiment, the processor (240) can obtain a third image of the first image (411) that is corrected based on a user input for the object (428) after correction is performed on the first image (411). The processor (240) can obtain one or more fourth images by applying values of a plurality of properties of the third image to one or more second images (e.g., images (421, 422, 423)) based on a user input for the object (428) after correction is performed on the first image (411).

In one embodiment, the processor (240) can restore the first image (411) based on a user input for the object (427) after correction is performed on the first image (411) or while correction is performed on the first image (411). For example, the processor (240) can restore the first image (411) to an original image before correction by removing a correction effect that was applied to the first image (411) based on a user input for the object (427) after correction is performed on the first image (411) or while correction is performed on the first image (411).

In one embodiment, the processor (240) may, at reference numeral 404, deselect at least some of the one or more second images (e.g., images (421, 422, 423)) based on user input for at least some of the one or more second images (e.g., images (421, 422, 423)) before obtaining user input for the object (428) after performing the correction. The processor (240) may, after the deselection of some of the one or more second images (e.g., images (421, 422, 423)) is performed, perform an operation of applying values of a plurality of attributes of a third image to at least one second image that is finally selected from the one or more second images (e.g., images (421, 422, 423)) based on user input for the object (428) obtained.

FIGS. 5A and 5B are drawings for explaining a method of providing an image according to one embodiment.

Referring to FIGS. 5A and 5B , in one embodiment, at reference numeral 501, the processor (240) may display a screen (510) including a plurality of images (e.g., images (511, 512, 513)) stored in the memory (230) through the display (210) based on the execution of the gallery application. For example, the processor (240) may display a plurality of images (e.g., images (511, 512, 513)) stored in the memory (230) in the form of thumbnails through the display (210) based on the execution of the gallery application. The processor (240) may select a first image (511) from among the plurality of images (e.g., images (511, 512, 513)) based on a user input while the plurality of images (e.g., images (511, 512, 513)) are displayed.

In one embodiment, at reference numeral 502, the processor (240) may select one or more second images (e.g., images (521, 522)) based on metadata of the first image (e.g., a creation time of the first image and/or a creation location of the first image included in the metadata of the first image) (and/or an object included in the first image) based on the selection of the first image (or based on user input after the selection of the first image (511)). The processor (240) may display, through the display (210), a screen (520) including the first image (511) and one or more second images (e.g., images (521, 522)) displayed in a thumbnail form.

In one embodiment, the processor (240) may display, through the display (210), objects (e.g., objects (521-1, 522-1)) indicating that one or more of the second images (e.g., images (521, 522)) are selected as targets of correction with respect to the first image (511) within one or more of the second images (e.g., images (521, 522)). In one embodiment, the processor (240) may display, through the display (210), an object (523) for scrolling for an area in which one or more of the second images (e.g., images (521, 522)) are displayed.

In one embodiment, at reference numeral 503, the processor (240) may display, through the display (210), a user interface (531) including objects (or user interfaces) for adjusting values of a plurality of properties of the first image (511), together with the first image (511) and one or more second images (e.g., images (521, 522)) displayed in a thumbnail form, based on a user input for correcting the first image (511). For example, the processor (240) may display, through the display (210), an object (532) representing exposure, an object (532-1) in a bar shape, and an object (532-2) movable on the object (532-1) based on the user input, in order to adjust the exposure of the first image (511). For example, the processor (240) may display an object (533) representing brightness, a bar-shaped object (533-1), and an object (533-2) movable on the object (533-1) based on user input through the display (210) in order to adjust the brightness of the first image (511). For example, the processor (240) may display an object (534) representing contrast, a bar-shaped object (534-1), and an object (534-2) movable on the object (534-1) based on user input through the display (210) in order to adjust the contrast of the first image (511).

In one embodiment, the processor (240) can adjust a value of an attribute of the first image (511) based on a user input to the user interface (531) (e.g., a user input for objects (532-2, 533-2, 534-2)). The operation of adjusting the value of an attribute of the first image (511) based on the user input to the user interface (531) is at least partially identical or similar to the operation of adjusting the value of an attribute of the first image (411) based on the user input for objects (e.g., the objects (441-2, 442-2)) in reference numeral 404 of FIG. 4, and therefore, a detailed description thereof will be omitted.

In one embodiment, the processor (240) may perform correction on the first image (511) at reference numerals 503 and 504, thereby obtaining a third image in which the first image (511) is corrected. The processor (240) may apply a plurality of attribute values of the third image to one or more second images (e.g., images (521, 522)), thereby obtaining one or more fourth images (e.g., images (541, 542, 543)). Based on the obtaining of the one or more fourth images (e.g., images (541, 542, 543)), the processor (240) may display the one or more fourth images (e.g., images (541, 542, 543)) in the form of thumbnails through the display (210), as illustrated in reference numerals 504.

FIG. 6 is a flowchart (600) for explaining a method of providing an image according to one embodiment.

FIG. 7 is a diagram illustrating a method for providing an image according to one embodiment.

Referring to FIGS. 6 and 7, in operation 601, in one embodiment, the processor (240) may select a plurality of images based on user input.

In one embodiment, the processor (240) may display images in the memory (230) through the display (210) based on executing an image application (e.g., a gallery application). The processor (240) may select a plurality of images (hereinafter, referred to as “a plurality of images”) from among the images based on a user input. Based on the selection of a plurality of images from among the images, the processor (240) may display a screen (710) including a plurality of images (e.g., images (711, 712)) selected based on the user input through the display (210), as illustrated in reference numeral 701 of FIG. 7. The processor (240) may display, through the display (210), objects (e.g., objects (711-1, 712-1)) indicating that the plurality of images (e.g., images (711, 712)) are selected, together with a plurality of images (e.g., images (711, 712)).

In operation 603, in one embodiment, the processor (240) may determine a representative image based on attribute values of a plurality of images.

In one embodiment, the processor (240) may determine a representative image among the plurality of images based on attribute values (e.g., exposure, brightness, contrast, highlight, shadow, saturation, color temperature (white balance), tint, sharpness, and/or clarity) of the plurality of images (e.g., the plurality of images selected in operation 601).

In one embodiment, the processor (240) may analyze (e.g., extract) values of the plurality of attributes of the plurality of images for each of the plurality of attributes. The processor (240) may obtain (e.g., calculate) averages of the values of the plurality of attributes of the plurality of images for each of the plurality of attributes. For example, the processor (240) may calculate an average of the exposures of the plurality of images. For example, the processor (240) may calculate an average of the brightnesses of the plurality of images.

In one embodiment, the processor (240) may determine, based on the differences between the plurality of attribute values of the plurality of images and the averages of the plurality of attribute values, an image having attribute values closest to the averages of the plurality of attribute values among the plurality of images as a representative image. For example, the processor (240) may calculate, for each of the plurality of images, the sums (or square sums) of the differences between the plurality of attribute values and the averages of the plurality of attributes. The processor (240) may determine, among the plurality of images, an image having the minimum value among the sums of the differences between the plurality of attribute values and the averages of the plurality of attributes as a representative image. However, the method of determining the representative image is not limited to the examples described above.

In one embodiment, the processor (240) may determine a representative image among the plurality of images based on the compositions of the plurality of images (e.g., the position of an object and/or the direction in which the object is facing within each of the plurality of images).

In one embodiment, the processor (240) may calculate, from each of a plurality of images, a position of an object included in an image (e.g., coordinates of the object within the image) and/or a horizontal angle (e.g., angle between a horizontal axis of the object and a horizontal axis of the image) and a vertical angle (e.g., angle between a vertical axis of the object and a vertical axis of the image) of the object included in the image (hereinafter referred to as a “composition value of the image”).

In one embodiment, the processor (240) can calculate an average of positions of objects included in each of the plurality of images, an average of horizontal angles, and an average of vertical angles (hereinafter referred to as “average of the composition of the plurality of images”).

In one embodiment, the processor (240) may determine, among the plurality of images, an image in which the difference between the value of the composition of the image and the average of the compositions of the plurality of images is minimal, as a representative image.

In one embodiment, the processor (240) can determine a representative image based on attribute values of the plurality of images and compositions of the plurality of images.

In one embodiment, reference numeral 702 may represent a representative image (720) determined from among a plurality of images (e.g., images (711, 712)). For example, the representative image (720) may be an image in which an object (e.g., a cake) included in the representative image (720) is positioned at the center of the representative image (720), the entire area of the object is included in the representative image (720), and the horizontal angle and the horizontal angle are substantially 0 degrees.

In operation 605, in one embodiment, the processor (240) may correct a plurality of images based on the representative image.

In one embodiment, the processor (240) can correct a plurality of images by applying a plurality of attribute values of the representative image to the plurality of images (e.g., the plurality of images selected in operation 601).

In one embodiment, the processor (240) may select one or more images to which the plurality of attribute values of the representative image are to be applied, based on user input, after the representative image is determined. In operation 603, the processor (240) may select one or more images to which the plurality of attribute values of the representative image are to be applied, based on user input, after the representative image is determined based on the attribute values of the plurality of images.

In one embodiment, the processor (240) may select one or more images from among the plurality of images to which the plurality of attribute values of the representative image are to be applied. However, the present invention is not limited thereto, and the processor (240) may also select one or more images from among the images stored in the memory (230) in addition to the plurality of images to which the plurality of attribute values of the representative image are to be applied.

In one embodiment, the processor (240) may display the corrected plurality of images through the display (210) based on the correction of the plurality of images. For example, the processor (240) may display a screen (730) including the corrected plurality of images (731, 732, 733) through the display (210), as illustrated in reference numeral 703 of FIG. 7.

FIG. 8 is a flowchart (800) for explaining a method of providing an image according to one embodiment.

FIG. 9 is a diagram for explaining a method for providing an image according to one embodiment.

Referring to FIGS. 8 and 9, in operation 801, in one embodiment, the processor (240) may acquire an image through the camera (220). For example, the processor (240) may display a preview image through the display (210) based on the images acquired through the camera (220). While the preview image is displayed, the processor (240) may acquire an image (e.g., a captured image) (hereinafter, referred to as a “first image”) based on a user input for capturing the image.

In one embodiment, the processor (240) may acquire a first image through the camera (220) based on camera setting values.

In one embodiment, camera settings may include exposure value (EV), shutter speed, International Organization for Standardization (ISO) value (also referred to as “ISO sensitivity”), white balance (WB), and/or focus information.

In one embodiment, the processor (240) can acquire a first image through the camera (220) based on camera settings set as default.

In one embodiment, the processor (240) may acquire a first image through the camera (220) based on camera setting values set based on user input. For example, the processor (240) may adjust a camera setting value set as default based on the user input (hereinafter, the camera setting value adjusted from the camera setting value set as default based on the user input is referred to as a “first camera setting value”). The processor (240) may acquire a first image through the camera (220) based on the first camera setting value.

In one embodiment, at reference numeral 901 of FIG. 9, the processor (240) may display a screen (910) including a preview image (911), an object (913) for adjusting a camera setting value (e.g., color temperature), and an object (912) for capturing an image, through the display (210). The processor (240) may adjust the camera setting value (e.g., color temperature) based on a user input for the object (913).

In one embodiment, the processor (240) may acquire a first image through the camera (220) based on camera setting values set based on an image (e.g., a preview image) acquired through the camera (220). For example, at least a portion of the camera setting values (e.g., an ISO value, a shutter speed) may be adjusted based on a shooting environment (e.g., ambient brightness of the camera (220) and an amount of light sensed by the camera (220)) analyzed based on a preview image acquired through the camera (220) (hereinafter, the camera setting values adjusted from the camera setting values set as default based on the image acquired through the camera (220) are referred to as “second camera setting values”). The processor (240) may acquire the first image through the camera (220) based on the second camera setting values.

In operation 803, in one embodiment, the processor (240) may generate a filter associated with the image (the first image) when the image (the first image) is acquired by camera settings different from the default camera settings. For example, the processor (240) may generate a filter associated with the first image based on the fact that the first image is acquired based on camera settings different from the default camera settings.

In one embodiment, the processor (240) may generate a filter associated with the first image when the first image is acquired by the first camera settings and/or the second camera settings.

In one embodiment, the filter associated with the first image may include a filter that can apply camera settings of the first image (and/or at least some of the plurality of attribute values of the first image) to one or more other images.

In one embodiment, the processor (240) may store a filter associated with the first image in the memory (230) based on the filter being generated associated with the first image.

In one embodiment, the processor (240) may display, through the display (210), an object indicating that a filter related to the first image is generated for the first image when displaying the first image. For example, in reference numeral 902 of FIG. 9, the processor (240) may display, through the display (210), an object (921-1) indicating that a filter related to the first image (921) is generated within the first image (921) when displaying a screen (920) including the first image (921) and other images (e.g., images (922, 923)) stored in the memory (230).

In operation 805, in one embodiment, the processor (240) may select one or more images (hereinafter referred to as “one or more second images”) from among a plurality of images stored in the memory (230).

In one embodiment, the processor (240) may select one or more second images from among a plurality of images stored in the memory (230) based on user input.

In one embodiment, the processor (240) may select one or more second images from among a plurality of images stored in the memory (230) based on metadata of the first image. An operation of the processor (240) selecting one or more second images from among a plurality of images stored in the memory (230) based on metadata of the first image is at least partially identical or similar to the operation described through operation 303 of FIG. 3, and therefore, a duplicate description will be omitted.

In one embodiment, at reference numeral 903 of FIG. 9, the processor (240) may select one or more second images (e.g., images (931, 932, 933, 934, 935, 936, 937)) within a screen (930) displayed via the display (210).

In operation 807, in one embodiment, the processor (240) may correct one or more images (one or more second images) based on a filter (a filter associated with the first image).

In one embodiment, the processor (240) may apply camera settings of the first image (and/or at least some of the plurality of attribute values of the first image) to one or more second images using a filter associated with the first image. For example, the processor (240) may acquire the first camera (220) based on the first camera settings set to a shutter speed of 1/180 (s), an exposure value of +0.6, and a color temperature of 7300 K, and then select a second image having a shutter speed of 1/60 (s), an exposure value of +0.0, and a color temperature of 8000 K, and may then compensate the second image so that the second image has a shutter speed of 1/180 (s), an exposure value of +0.6, and a color temperature of 7300 K. However, the method of applying the camera settings of the first image (and/or at least some of the plurality of attribute values of the first image) to one or more second images by using a filter related to the first image is not limited to the examples described above.

Although not illustrated in FIGS. 8 and 9, in one embodiment, the processor (240) may apply the filter associated with the first image to at least one other image after the first image and the filter associated with the first image are stored. For example, the processor (240) may display a plurality of images including the first image through the display (210) based on executing a gallery application after the first image and the filter associated with the first image are stored. The processor (240) may apply the filter associated with the first image to the selected at least one image by selecting at least one image from among the plurality of images to which the filter associated with the first image will be applied.

FIG. 10 is a flowchart (1000) for explaining a method of providing an image according to one embodiment.

FIG. 11 is a diagram for explaining a method for providing an image according to one embodiment.

Referring to FIGS. 10 and 11, in operation 1001, in one embodiment, the processor (240) may determine whether a condition for saving a second image (hereinafter referred to as a “second image”) to be acquired through the camera (220) in a raw file format is satisfied based on a first image (hereinafter referred to as a “first image”) acquired through the camera (220).

In one embodiment, a raw file may include an uncompressed (uncompressed) image. For example, a raw file may include image data for which no compression operation has been performed on an image acquired through a camera (220). In one embodiment, an image stored in the form of a raw file may be an image (e.g., a lossless image) that includes all information about light input to an image sensor of the camera (220). In one embodiment, an image stored in the form of a raw file may include an image having a bit depth of 12 bits (or 14 bits) or 16 bits as an unprocessed image. In one embodiment, the extension of a raw file may be DNG (digital negative). However, the present invention is not limited thereto, and the extension of a raw file may vary depending on the manufacturer of the camera (220) or the image sensor. In one embodiment, although the raw file is described as an uncompressed image in the above-described example, the present invention is not limited thereto. For example, a raw file may include a lossless compressed raw file or a compressed raw file.

In one embodiment, the processor (240) may determine whether a condition for storing the second image in the raw file format is satisfied based on a preview image as the first image. However, the present invention is not limited thereto. For example, the processor (240) may determine whether a condition for storing the second image in the raw file format is satisfied based on whether a plurality of images (e.g., a plurality of captured images) acquired prior to acquiring the second image satisfy a specified condition. This will be described in detail with reference to FIG. 13.

In one embodiment, the processor (240) may determine whether a condition for storing the second image in the raw file format (hereinafter referred to as the "first condition") is satisfied based on the contrast of the first image (e.g., the difference between the brightness of the most stepped area and the brightness of the darkest area in the first image). For example, the processor (240) may determine that the first condition is satisfied based on the difference between the brightness of the most stepped area and the brightness of the darkest area in the first image being greater than or equal to a threshold. For example, the processor (240) may determine that the first condition is not satisfied based on the difference between the brightness of the most stepped area and the brightness of the darkest area in the first image being less than the threshold.

In one embodiment, the processor (240) can determine whether the first condition is satisfied based on the brightness of the first image. For example, the processor (240) can determine that the first condition is satisfied based on an average of brightness values of pixels of the first image being greater than or equal to a first threshold (e.g., when the first image is bright) or based on an average of brightness values of pixels of the first image being less than or equal to a second threshold (e.g., a second threshold less than the first threshold) (e.g., when the first image is dark). For example, the processor (240) can determine that the first condition is not satisfied based on an average of brightness values of pixels of the first image being greater than the second threshold and less than the first threshold.

In one embodiment, the processor (240) may determine whether the first condition is satisfied based on noise in the first image. For example, the processor (240) may determine that the first condition is satisfied based on the amount of noise in the first image being greater than or equal to a threshold. For example, the processor (240) may determine that the first condition is not satisfied based on the amount of noise in the first image being less than a threshold.

In one embodiment, the processor (240) may determine that the first condition is satisfied based on whether the shooting mode of the camera (220) is set to a portrait shooting mode or a night shooting mode. However, the present invention is not limited thereto. For example, the processor (240) may determine that the first condition is satisfied based on whether the first image includes a portrait or the shooting environment of the first image is night.

However, the method for checking whether the condition for saving the second image in the form of a raw file is satisfied is not limited to the examples described above. For example, the first condition may include any condition in which saving the second image in the form of a raw file is more suitable than saving it in another form (e.g., a compressed file form).

In operation 1003, in one embodiment, the processor (240) may display guide information for storing the second image in the form of a raw file through the display (210) based on confirmation that the above condition (first condition) is satisfied when acquiring the second image.

In one embodiment, the processor (240) may display, through the display (210), guide information that guides setting a mode (hereinafter, also referred to as “RAW shooting mode”) for saving a second image in the form of a raw file when acquiring a second image through the camera (220) based on the satisfaction of the first condition. For example, in reference numeral 1101 of FIG. 11, the processor (240) may display, through the display (210), a screen (1110) including an area for displaying a preview image. Based on confirmation that the first condition is satisfied based on the preview image, the processor (240) may display, through the display (210), guide information (1121) that guides setting the RAW shooting mode, such as “Activate RAW now and shoot. RAW images provide uncompressed original images that are easy to correct, allowing the user to take their own photos.”

In one embodiment, the processor (240) may display an object indicating a RAW shooting mode through the display (210) together with the guide information based on the first condition being satisfied. For example, in reference numeral 1102 of FIG. 11, the processor (240) may display a screen (1120) including an object (1122) indicating a RAW shooting mode (e.g., an object for activating the RAW shooting mode) together with the guide information (1121) through the display (210) based on the first condition being satisfied.

In one embodiment, the processor (240) may activate the RAW shooting mode based on a user input for the object (1122). For example, in reference numerals 1102 and 1103 of FIG. 11, the processor (240) may activate the RAW shooting mode based on a user input for the object (1122). When the RAW shooting mode is activated, the processor (240) may display a screen (1130) including an object (1131) indicating that the RAW shooting mode is activated through the display (210).

In one embodiment, at reference numerals 1103 and 1104 of FIG. 11, the processor (240) may deactivate the RAW shooting mode based on a user input for the object (1122) after the RAW shooting mode is activated (e.g., while the RAW shooting mode is activated). When the RAW shooting mode is deactivated, the processor (240) may display, through the display (210), a screen (1140) including an object (1141) indicating that the RAW shooting mode is deactivated.

In operation 1005, in one embodiment, the processor (240) may acquire a second image based on a user input for an object (1112) for acquiring an image while the RAW shooting mode is activated, and store the acquired second image in the memory (230) in the form of a RAW file.

In one embodiment, the processor (240) may generate the second image in the form of a RAW file based on the second image being acquired while the RAW shooting mode is activated, and may generate the second image in a designated format (e.g., a compressed file format such as a Joint Photographic Experts Group (JPEG) format). The processor (240) may store the second image generated in the form of a RAW file and the second image generated in the designated format in the memory (230).

FIG. 12 is a diagram for explaining a method of storing an image according to one embodiment.

Referring to FIG. 12, in one embodiment, the processor (240) may store a second image acquired through the camera (220) in the form of a RAW file in the memory (230) while the RAW shooting mode is activated.

In one embodiment, the processor (240) may display a second image stored in the memory (230) in the form of a RAW file through the display (210). For example, in reference numeral 1201 of FIG. 12, the processor (240) may display, through the display (210), a screen (1210) including a second image (1212) stored in the memory (230) in the form of a RAW file, an object (1211) indicating that the second image (1212) is an image stored in the form of a RAW file, and a thumbnail image (1212-1) of the second image (1212).

In one embodiment, the processor (240) may store a second image acquired through the camera (220) in the form of a RAW file in the memory (230) while the RAW shooting mode is activated, generate the second image in the form of a JPEG using a lossy compression method, and store the second image generated in the form of the JPEG in the memory (230).

In one embodiment, the processor (240) may display the second image stored in the memory (230) in the form of a JPEG file through the display (210). For example, in reference numeral 1202 of FIG. 12, the processor (240) may display, through the display (210), a screen (1220) including the second image (1221) stored in the memory (230) in the form of a JPEG file and a thumbnail image (1221-1) of the second image (1221).

In the examples described above, the processor (240) is described as generating a second image acquired through the camera (220) in a RAW file format and a JPEG format while the RAW shooting mode is activated, and storing the second image generated in the RAW file format and the second image generated in the JPEG format in the memory (230), but is not limited thereto. For example, the processor (240) may generate a second image acquired through the camera (220) only in a RAW file format while the RAW shooting mode is activated, and store the second image generated in the RAW file format in the memory (230).

FIG. 13 is a flowchart (1300) for explaining a method of providing an image according to one embodiment.

Referring to FIG. 13, in operation 1301, in one embodiment, the processor (240) may obtain a 1-1 image (hereinafter referred to as a “1-1 image”) and a 1-2 image (hereinafter referred to as a “1-2 image”) through the camera (220).

In one embodiment, the first image (1-1) and the second image (1-2) may be images sequentially acquired (e.g., photographed) through the camera (220). For example, the processor (240) may acquire the first image (1-1) based on a user input (e.g., a user input for acquiring a capture image) while displaying a preview image acquired through the camera (220). The processor (240) may display a preview image acquired through the camera (220) after acquiring the first image (1-1). The processor (240) may acquire the first image (1-2) based on a user input (e.g., a user input for acquiring a capture image) while displaying a preview image acquired through the camera (220) after acquiring the first image (1-1).

In one embodiment, the first-second image may be an image acquired through the camera (220) within a specified time from the time of acquiring the first-first image.

In one embodiment, the 1-2 image may be an image acquired through the camera (220) without switching the screen after acquiring the 1-1 image. For example, the processor (240) may acquire the 1-1 image through the camera (220) while the execution screen of the camera application is displayed. If the processor (240) acquires the image through the camera (220) without switching the screen displayed through the display (210) from the camera application to another screen (e.g., a home screen) after acquiring the 1-1 image, the processor (240) may determine the acquired image as the 1-2 image.

In operation 1303, in one embodiment, the processor (240) may determine that the similarity between the 1-1 image and the 1-2 image is greater than or equal to a threshold similarity. For example, the processor (240) may compare the 1-1 image and the 1-2 image. Through the comparison, the processor (240) may determine whether the similarity between the 1-1 image and the 1-2 image is greater than or equal to a threshold similarity. In one embodiment, when the similarity between the 1-1 image and the 1-2 image is greater than or equal to the threshold similarity, it may be the case that the 1-1 image and the 1-2 image include substantially the same scene. In one embodiment, when the similarity between the 1-1 image and the 1-2 image is greater than or equal to the threshold similarity, it may be the case that the user wants to capture the same scene multiple times.

In one embodiment, the condition that the similarity between the 1-1 image and the 1-2 image is greater than or equal to a threshold similarity may be referred to as a “second condition” or a “re-shooting condition.”

In operation 1305, in one embodiment, the processor (240) may determine whether a condition (the first condition) for saving a second image to be acquired through the camera (220) in a raw file format is satisfied based on the similarity between the first image (and/or the first image) and the first image (e.g., based on the second condition being satisfied) that is greater than or equal to a threshold similarity. The operation of determining whether the condition for saving a second image to be acquired through the camera (220) in a raw file format is satisfied based on the first image (and/or the first image) is at least partially identical or similar to operation 1101 of FIG. 11, and therefore a detailed description thereof will be omitted.

In operation 1305, in one embodiment, the processor (240) may, based on the 1-2 image (and/or the 1-1 image), display guide information for storing the second image in the raw file format through the display (210) upon acquisition of the second image based on confirming that a condition for storing the second image in the raw file format is satisfied.

Since operation 1305 is at least partially identical or similar to operation 1003 of FIG. 10, a detailed description thereof will be omitted.

In operation 1307, in one embodiment, the processor (240) may store the second image in the form of a RAW file in the memory (230). For example, the processor (240) may acquire the second image based on a user input for an object (1112) for acquiring an image while the RAW shooting mode is activated, and store the acquired second image in the form of a RAW file in the memory (230).

Since operation 1307 is at least partially identical or similar to operation 1005 of FIG. 10, a detailed description thereof will be omitted.

FIG. 14 is a drawing for explaining a method of correcting an image saved in a raw file format according to one embodiment.

Referring to FIG. 14, in one embodiment, the processor (240) may correct an image stored in a raw file format (hereinafter, also referred to as a “raw image”). For example, the processor (240) may correct (e.g., adjust) the values of one or more attributes among the values of a plurality of attributes of the raw image.

In one embodiment, at reference numerals 1401 and 1402 of FIG. 14, the processor (240) may display a screen (e.g., screen (1410), screen (1420)) including an area (1411) in which a raw image is displayed and an interface for correcting the raw image through the display (210).

In one embodiment, an interface for correcting a raw image (hereinafter also referred to as “interface”) may include objects representing a plurality of properties (1412, 1413, 1414, 1421, 1422, 1423, 1424), objects for adjusting values of the plurality of properties (e.g., objects for adjusting a value of exposure (1412-1, 1412-2)), an object for automatically adjusting values of the plurality of properties (1417), and/or a histogram (1418) related to properties of the raw image.

In one embodiment, at reference numerals 1401 and 1402 of FIG. 14, the processor (240) can display a portion of the interface through the display (210). While the portion of the interface is displayed, the processor (240) can display another portion of the interface that was not displayed, through the display (210), based on a user input to the interface (e.g., a user input for scrolling the interface to correct the image).

In one embodiment, the processor (240) may adjust at least one of a plurality of attribute values of the image based on a user input to the interface. For example, the processor (240) may adjust an exposure value (or intensity of exposure) based on a user input that moves a position of a movable object (1412-2) (also referred to as a “slider”) on a bar-shaped object (1412-1).

In one embodiment, the processor (240) may control the display (210) so that while adjusting one of a plurality of attribute values of a raw image, objects for adjusting other attribute values are not displayed. For example, when obtaining a user input for an object (1412-2) related to an exposure value (e.g., upon touching the object (1412-2)), the processor (240) may control the display (210) so that only the objects (1412, 1412-1, 1412-2) are displayed and objects related to other attributes (e.g., attributes indicated by the objects (1413, 1414, 1421, 1422, 1423, 1424)) disappear from the display (210).

In one embodiment, reference numeral 1403 of FIG. 14 may represent an interface (1430) for correcting a raw image. For example, the interface (1430) for correcting a raw image may include objects (1412, 1413, 1414, 1421, 1422, 1423, 1424) representing a plurality of properties, objects for adjusting values of the plurality of properties (e.g., objects (1412-1, 1412-2) for adjusting a value of exposure), and an object (1417) for automatically adjusting values of the plurality of properties.

In one embodiment, as illustrated in reference numeral 1403, the plurality of properties of the raw image may include exposure, brightness, contrast, highlight, shadow, color temperature, and tint. However, the plurality of properties of the image are not limited to the examples described above. For example, the plurality of properties of the raw image may further include chroma, sharpness, and/or clarity.

In one embodiment, the processor (240) may store the corrected raw image (1411) in the memory (230) based on user input for the object (1419-2) after correcting the raw image (1411).

In one embodiment, the processor (240) may remove an effect (or filter) applied to the corrected raw image (1411) based on a user input for the object (1419-1) after correcting the raw image (1411). For example, the processor (240) may restore the corrected raw image based on a user input for the object (1419-1) after correcting the raw image (1411).

FIGS. 15A and 15B are drawings for explaining a method of correcting an image saved in a raw file format according to one embodiment.

Referring to FIGS. 15A and 15B , in one embodiment, the processor (240) may provide an application for correcting a raw image (e.g., a program for editing a raw image).

In one embodiment, the processor (240) may display a raw image through the display (210) based on a user input for selecting a raw image while the gallery application is running. For example, the processor (240) may display a screen (1510) including a raw image (1511) through the display (210) at reference numeral 1501 of FIG. 15A.

In one embodiment, the processor (240) may execute an application for correcting a raw image (e.g., an application that is linked with a gallery application and can execute a function for correcting a raw image) based on a user input for correcting (or editing) a raw image while the raw image is displayed. For example, the processor (240) may display a screen (1520) including an interface for correcting a raw image through the display (210) based on a user input for an object (1512) for correcting a raw image in reference numerals 1501 and 1502 of FIG. 15A. In one embodiment, the interface may include objects representing a plurality of properties of a raw image (1511) (e.g., objects (1521, 1522, 1523)), objects for adjusting values of the plurality of properties (e.g., objects (1521-1, 1521-2)), an object (1526) for automatically adjusting values of the plurality of properties, an object (1525) representing a specified filter, and/or a histogram (1527) associated with a property of the raw image.

In one embodiment, at reference numeral 1502 of FIG. 15A and reference numeral 1503 of FIG. 15B, the processor (240) may display, through the display (210), a screen (1530) including objects (1531, 1531-1) for adjusting attribute values of a specified filter based on a user input for an object (1525) representing a specified filter.

In one embodiment, the designated filter may include a filter that can perform a function of applying a film-like effect to the raw image (also referred to as a "film emulation function" or a "film simulation function"). However, the designated filter is not limited to the examples described above. In addition, although FIGS. 15A and 15B illustrate examples of providing one designated filter, multiple designated filters may be provided.

In one embodiment, at reference numeral 1503, the processor (240) may adjust the intensity of a specified filter (e.g., a value of the specified filter) based on a user input for a movable object (1531-1) on a bar-shaped object (1531).

In one embodiment, the processor (240) may store the strength of a specified filter in the memory (230). For example, in reference numeral 1503, the processor (240) may adjust the strength of a specified filter (e.g., a filter whose name is "film 1") based on user input for objects (1531, 1531-1), and then store the adjusted strength of the specified filter in the memory (230).

In one embodiment, the processor (240) may display, via the display (210), adjusted intensities of a specified filter (e.g., a history of adjusted intensities of a specified filter) that were stored in the memory (230). For example, at reference numeral 1504, the processor (240) may display, via the display (210), a screen (1540) that includes objects (1542, 1543, 1544, 1545, 1546) representing, respectively, intensities 11, 55, 23, 90, and 100 (e.g., “film 1 on”) of film 1 that were stored in the memory (230).

In one embodiment, the processor (240) can automatically adjust at least one of the plurality of attribute values of the raw image (1511) based on a user input for the object (1526) to automatically adjust the values of the plurality of attributes. For example, in reference numerals 1504 and 1505, the processor (240) can automatically adjust the values of at least some of the plurality of attributes of the raw image (1511) based on the user input for the object (1526) such that the raw image (1511) has optimized attribute values. The processor (240) may display a screen (1550) including a user interface (e.g., a user interface including objects (1551, 1551-1, 1551-2, 1552, 1553)) that indicates the value of the adjusted attribute (e.g., the intensity of the adjusted attribute) through the display (210) when the value of at least some of the attributes of the image (1511) is adjusted.

In one embodiment, the processor (240) may store the corrected raw image (1511) in the memory (230) based on user input for the object (1528-2) after correcting the raw image (1511).

In one embodiment, the processor (240) may remove an effect (or filter) applied to the corrected raw image (1511) based on a user input for the object (1528-1) after correcting the raw image (1511). For example, the processor (240) may restore the corrected raw image based on a user input for the object (1528-1) after correcting the raw image (1511).

In one embodiment, the electronic device (201) may include a memory (230) and at least one processor (240). The at least one processor (240) may be configured to acquire a first image. The at least one processor (240) may be configured to select one or more second images from among a plurality of images stored in the memory (230) based on at least one of a generation time of the first image or a generation location of the first image included in metadata of the first image. The at least one processor (240) may be configured to acquire a third image by changing a value of at least one attribute from among values of a plurality of attributes of the first image based on a user input. The at least one processor (240) may be configured to acquire one or more fourth images by changing values of the plurality of attributes of each of the one or more second images based on the values of the plurality of attributes of the third image.

In one embodiment, the first image may be selected from among a plurality of images stored in the memory (230) based on a user input or may be acquired through a camera (220) of the electronic device (201).

In one embodiment, the at least one processor (240) may be configured to select, from among the plurality of images, images acquired through the camera (220) of the electronic device (201) within a specified time range based on the generation time of the first image, as the one or more second images.

In one embodiment, the at least one processor (240) may be configured to select, from among the plurality of images, images acquired through the camera (220) of the electronic device (201) within a specified distance time based on the generation location of the first image, as the one or more second images.

In one embodiment, the at least one processor (240) may be configured to obtain one or more fourth images by applying values of a plurality of attributes of the third image to the one or more second images.

In one embodiment, the at least one processor (240) may be configured to select a plurality of fifth images from among the plurality of images stored in the memory (230) based on a user input. The at least one processor (240) may be configured to determine a representative image from among the plurality of fifth images based on values of attributes of each of the plurality of fifth images and a location of an object included in each of the plurality of fifth images. The at least one processor (240) may be configured to correct the plurality of sixth images based on values of attributes of the representative image.

In one embodiment, the electronic device (201) may further include a camera (220). The at least one processor (240) may be configured to acquire a seventh image through the camera (220). The at least one processor (240) may be configured to generate a filter related to the first image based on the first image being acquired based on camera setting values that are different from camera setting values set by default. The at least one processor (240) may be configured to select a plurality of eighth images from among the plurality of images stored in the memory (230). The at least one processor (240) may be configured to correct the plurality of eighth images using the generated filter. The camera setting values may include an exposure value, a shutter speed, an International Organization for Standardization (ISO) value, a white balance, and/or focus information.

In one embodiment, the plurality of properties may include exposure, brightness, contrast, highlight, shadow, saturation, color temperature, tint, sharpness, and/or clarity.

In one embodiment, a method for providing an image in an electronic device (201) may include an operation of acquiring a first image. The method may include an operation of selecting one or more second images from among a plurality of images stored in a memory (230) of the electronic device (201) based on at least one of a generation time of the first image or a generation location of the first image included in metadata of the first image. The method may include an operation of acquiring a third image by changing a value of at least one attribute from among values of a plurality of attributes of the first image based on a user input. The method may include an operation of acquiring one or more fourth images by changing values of the plurality of attributes of each of the one or more second images based on the values of the plurality of attributes of the third image.

In one embodiment, the first image may be selected from among a plurality of images stored in the memory (230) based on a user input or may be acquired through a camera (220) of the electronic device (201).

In one embodiment, the operation of selecting the one or more second images may include an operation of selecting, from among the plurality of images, images acquired through the camera (220) of the electronic device (201) within a specified time range based on the generation time of the first image, as the one or more second images.

In one embodiment, the operation of selecting the one or more second images may include an operation of selecting, from among the plurality of images, images acquired through the camera (220) of the electronic device (201) within a specified distance time based on the generation location of the first image, as the one or more second images.

In one embodiment, the operation of obtaining the one or more fourth images may include obtaining the one or more fourth images by applying values of a plurality of properties of the third image to the one or more second images.

In one embodiment, the method may further include an operation of selecting a plurality of fifth images from among the plurality of images stored in the memory (230) based on a user input. The method may further include an operation of determining a representative image from among the plurality of fifth images based on values of attributes of each of the plurality of fifth images and a location of an object included in each of the plurality of fifth images. The method may further include an operation of correcting the plurality of sixth images based on values of attributes of the representative image.

In one embodiment, the method may further include an operation of generating a filter associated with the first image based on the first image being acquired based on camera setting values that are different from default camera setting values. The method may further include an operation of selecting a plurality of eighth images from among the plurality of images stored in the memory (230). The method may further include an operation of correcting the plurality of eighth images using the generated filter. The camera setting values may include an exposure value, a shutter speed, an ISO value, a white balance, and/or focus information.

In one embodiment, the electronic device (201) may include a camera (220), a display (210), a memory (230), and at least one processor (240). The at least one processor (240) may be configured to determine, based on a first image acquired through the camera (220), whether a condition for storing a second image acquired through the camera (220) in a raw file format is satisfied. The at least one processor (240), based on determining that the condition is satisfied, may be configured to display, through the display (210), guide information for storing the second image in the raw file format when acquiring the second image. The at least one processor (240) may be configured to store the second image in the raw file format in the memory (230) based on acquiring the second image through the camera (220) after displaying the guide information.

In one embodiment, the at least one processor (240) may be configured to determine whether the condition is satisfied based on contrast, brightness, noise of the first image, and/or whether the mode in which the first image was captured is a portrait mode or a night shooting mode.

In one embodiment, the at least one processor (240) may be configured to display, through the display (210), an object for activating a mode for saving the second image in the form of a file together with the guide information.

In one embodiment, the at least one processor (240) may be configured to sequentially acquire the third image and the fourth image through the camera (220). The at least one processor (240) may be configured to determine whether the similarity between the third image and the fourth image is greater than or equal to a threshold similarity. The at least one processor (240) may be configured to determine whether the condition is satisfied based on the similarity between the third image and the fourth image being greater than or equal to a threshold similarity.

In one embodiment, the at least one processor (240) may be configured to correct the second image stored in the raw file format based on user input.

In addition, the structure of data used in the embodiments of the present document described above can be recorded on a computer-readable recording medium through various means. The computer-readable recording medium includes storage media such as magnetic storage media (e.g., ROM, floppy disk, hard disk, etc.), optical reading media (e.g., CD-ROM, DVD, etc.).

Claims (15)

In an electronic device (201), memory (230); and comprising at least one processor (240), At least one processor (240) above, Obtain the first image, Selecting one or more second images from among a plurality of images stored in the memory (230) based on at least one of the creation time of the first image or the creation location of the first image included in the metadata of the first image, By changing the value of at least one attribute among the values of a plurality of attributes of the first image based on a user input, a third image is obtained, and An electronic device (201) configured to obtain one or more fourth images by changing values of a plurality of attributes of each of the one or more second images based on values of a plurality of attributes of the third image. In paragraph 1, The first image is an electronic device (201) selected from among a plurality of images stored in the memory (230) based on a user input or acquired through a camera (220) of the electronic device (201). In claim 1 or 2, At least one processor (240) above, An electronic device (201) configured to select, from among the plurality of images, images acquired through the camera (220) of the electronic device (201) within a specified time range based on the generation time of the first image, as the one or more second images. In any one of claims 1 to 3, At least one processor (240) above, An electronic device (201) configured to select, from among the plurality of images, images acquired through the camera (220) of the electronic device (201) within a specified distance time based on the generation location of the first image, as the one or more second images. In any one of claims 1 to 4, At least one processor (240) above, An electronic device (201) configured to obtain one or more fourth images by applying values of a plurality of attributes of the third image to one or more second images. In any one of claims 1 to 5, At least one processor (240) above, Based on the user input, a plurality of fifth images are selected from among the plurality of images stored in the memory (230), Based on the values of the attributes of each of the plurality of fifth images and the positions of the objects included in each of the plurality of fifth images, a representative image is determined among the plurality of fifth images, and An electronic device (201) configured to correct a plurality of sixth images based on values of attributes of the above representative image. In any one of claims 1 to 6, Including a camera (220), At least one processor (240) above, Obtain the seventh image through the above camera (220), Generating a filter related to the first image based on the fact that the first image is acquired based on camera setting values different from the camera setting values set by default, Selecting a plurality of 8th images from among the plurality of images stored in the above memory (230), and configured to correct the plurality of eighth images using the above generated filter, The above camera setting values are an electronic device (201) including exposure value, shutter speed, ISO (International Organization for Standardization) value, white balance, and/or focus information. In any one of claims 1 to 7, The above multiple properties include exposure, brightness, contrast, highlight, shadow, saturation, color temperature, tint, sharpness, and/or clarity of the electronic device (201). In a method of providing an image in an electronic device (201), The action of acquiring the first image; An operation of selecting one or more second images from among a plurality of images stored in a memory (230) of the electronic device (201) based on at least one of a creation time of the first image or a creation location of the first image included in metadata of the first image; An operation of obtaining a third image by changing the value of at least one attribute among the values of a plurality of attributes of the first image based on a user input; and A method comprising the action of obtaining one or more fourth images by changing values of a plurality of attributes of each of the one or more second images based on values of a plurality of attributes of the third image. In Article 9, The above first image is selected from among a plurality of images stored in the memory (230) based on a user input or is acquired through a camera (220) of the electronic device (201). In clause 9 or 10, The action of selecting one or more of the second images comprises: A method including an action of selecting, from among the plurality of images, images acquired through the camera (220) of the electronic device (201) within a specified time range based on the generation time of the first image, as the one or more second images. In any one of paragraphs 9 to 11, The action of selecting one or more of the second images, A method including an action of selecting, among the plurality of images, images acquired through the camera (220) of the electronic device (201) within a specified distance time based on the generation location of the first image, as the one or more second images. In any one of paragraphs 9 to 12, The operation of acquiring one or more of the fourth images comprises: A method comprising the action of obtaining one or more fourth images by applying values of a plurality of properties of the third image to one or more second images. In any one of paragraphs 9 to 13, An operation of selecting a plurality of fifth images from among the plurality of images stored in the memory (230) based on user input; An operation of determining a representative image among the plurality of fifth images based on the values of the properties of each of the plurality of fifth images and the positions of objects included in each of the plurality of fifth images; and A method further comprising an action of correcting a plurality of sixth images based on values of attributes of the representative image. In any one of paragraphs 9 to 14, An operation of generating a filter related to the first image based on the first image being acquired based on camera setting values different from the camera setting values set as default; An operation of selecting a plurality of eighth images from among the plurality of images stored in the above memory (230); and Further comprising an operation of correcting the plurality of eighth images using the generated filter, The above camera setting values include exposure value, shutter speed, ISO value, white balance, and/or focus information.

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