KR20020083368A - A digital camera which can improve a picture quality and the picture quality improving method using the digital camera - Google Patents
A digital camera which can improve a picture quality and the picture quality improving method using the digital camera Download PDFInfo
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- KR20020083368A KR20020083368A KR1020010022919A KR20010022919A KR20020083368A KR 20020083368 A KR20020083368 A KR 20020083368A KR 1020010022919 A KR1020010022919 A KR 1020010022919A KR 20010022919 A KR20010022919 A KR 20010022919A KR 20020083368 A KR20020083368 A KR 20020083368A
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Abstract
Description
본 발명은 디지털 카메라에 관한 것으로서, 특히 영상 변환 함수를 이용하여 주변 환경에 따른 피사체의 화질을 개선할 수 있는 카메라 및 그 화질 개선 방법에관한 것이다.BACKGROUND OF THE INVENTION 1. Field of the Invention The present invention relates to a digital camera, and more particularly, to a camera capable of improving an image quality of a subject according to a surrounding environment by using an image conversion function and a method of improving the image quality thereof.
일반적으로, 사용자가 배경이 어두운 곳에서 디지털 카메라를 이용하여 피사체를 촬영하면 촬영 영상이 어둡게 촬영되어 피사체가 잘 보이지 않는 경향이 있다. 어두운 곳에서도 피사체가 선명하게 촬영될 수 있도록 하는 방법은 플래시를 발광하여 주변 배경을 밝게 함으로써 피사체가 선명해 지도록 한다. 그러나, 플래시의 발광 시에도 촬영 영상은 밝아지지만 주변이나 멀리 보이는 배경은 잘 보이지 않는다. 사용자가 배경이 밝은 곳에서의 촬영 시에도 촬영 영상이 전반적으로 밝아지지만, 주변의 밝은 환경, 특히 역광 시에는 피사체가 어둡게 촬영되는 문제점이 있다.In general, when a user photographs a subject using a digital camera in a dark background, the photographed image is darkly photographed so that the subject is not easily seen. The way to make the subject clear even in the dark is to flash the flash to brighten the surrounding background so that the subject becomes clear. However, even when the flash is fired, the photographed image becomes bright, but the surrounding or distant background is hardly seen. Even when the user shoots in a bright background, the photographed image is generally bright, but there is a problem in that the subject is darkly photographed in a bright environment, particularly in backlight.
디지털 카메라의 경우, 사용자가 촬영된 영상에서 특정 레벨 대역의 확대 등의 영상 편집을 할 수가 있는데, 이러한 사용자의 촬영 영상 편집을 위해서는 디지털 카메라로 촬영된 영상 데이터를 개인용 컴퓨터(PC)에 이동시켜 특정 이미지 처리 프로그램을 통해 이루어지도록 한다.In the case of the digital camera, the user can edit the video such as the expansion of a specific level band in the captured video. For editing the captured video of the user, the video data recorded by the digital camera is moved to a personal computer (PC). This is done through an image processing program.
그런데, 이러한 사용자의 영상 편집은 상기 특정 이미지 처리 프로그램을 구입하여야 하며, 영상 편집 작업 또한 번거로우며, 상기 특정 이미지 처리 프로그램을 통한 원 영상의 영상 처리도 한계가 있는 문제점이 있다.By the way, the user's video editing has to purchase the specific image processing program, the video editing work is also cumbersome, and there is a problem that the video processing of the original image through the specific image processing program also has a limitation.
이와 같은 문제점을 해결하기 위해, 본 발명이 이루고자 하는 기술적인 과제는 촬영된 영상을 메모리에 저장할 때 영상 변환 매핑 함수를 이용하여 영상 데이터를 기록함으로써 카메라 내부에서 화질을 개선할 수 있도록 하는 데 그 목적이있다.In order to solve the above problems, a technical problem of the present invention is to record the image data using the image conversion mapping function when storing the captured image in the memory to improve the image quality in the camera There is this.
또한, 다양한 형태의 변환 함수를 촬영된 영상에 적용하여 선명도 확장, 이퀄라이징, 특정 레벨 영역의 확대를 통한 역광 보정 등의 기능을 수행하는 디지털 카메라를 제공하고자 하는 데 또 다른 목적이 있다.In addition, another object of the present invention is to provide a digital camera that performs various functions such as brightness enhancement, equalization, and backlight compensation by enlarging a specific level region by applying various types of conversion functions to the captured image.
도1은 본 발명의 실시 예에 따른 화질 개선 디지털 카메라를 나타내는 구성 블록도 이다.1 is a block diagram illustrating an image quality improvement digital camera according to an exemplary embodiment of the present invention.
도2a 및 도2b는 변환 함수의 특성 곡선을 설정하는 방법을 나타내는 그래프이다.2A and 2B are graphs showing a method of setting a characteristic curve of a transform function.
도3은 본 발명의 실시 예에 따른 디지털 카메라의 화질 개선 방법을 나타내는 흐름도 이다.3 is a flowchart illustrating a method of improving image quality of a digital camera according to an exemplary embodiment of the present invention.
도4는 변환 함수 설정 방법의 일례를 나타내는 흐름도 이다.4 is a flowchart showing an example of a method of setting a transform function.
도5는 도4의 변환 함수 설정 방법을 설명하기 위한 그래프이다.FIG. 5 is a graph for explaining a method of setting a conversion function of FIG. 4.
도6은 본 발명의 실시 예에 따른 화질 개선 결과를 나타내는 도면이다.6 is a diagram illustrating an image quality improvement result according to an exemplary embodiment of the present invention.
이와 같은 목적을 달성하기 위한 본 발명의 하나의 특징에 따른 화질을 개선할 수 있는 디지털 카메라는,A digital camera capable of improving the image quality according to one feature of the present invention for achieving the above object,
촬상 소자로부터 촬영된 영상 데이터를 디지털 영상 신호로 변환하고, 변환된 디지털 영상 신호를 수신해 영상 신호를 처리하여 저장할 수 있는 디지털 카메라로서,A digital camera capable of converting image data photographed from an imaging device into a digital image signal, receiving the converted digital image signal, and processing and storing the image signal.
촬영된 원 영상 데이터를 사용자 선택에 따라 변환할 수 있는 하나 이상의 변환 함수를 저장하는 메모리부;A memory unit for storing one or more conversion functions for converting the captured original image data according to a user selection;
촬영된 원 영상 데이터의 신호 처리 결과 데이터를 임시 저장하는 버퍼;A buffer for temporarily storing signal processing result data of the captured original image data;
사용자에 의해 재 설정된 변환 함수를 상기 메모리부로부터 호출하여 상기 버퍼에 저장된 영상 데이터에 적용하여 영상 데이터를 변환하는 데이터 변환부Data conversion unit for converting the image data by calling the conversion function reset by the user from the memory unit to apply to the image data stored in the buffer
를 포함한다.It includes.
본 발명의 다른 특징에 따른 디지털 카메라를 이용한 화질 개선 방법은,According to another aspect of the present invention, there is provided a method for improving image quality using a digital camera.
촬상 소자로부터 촬영된 영상 데이터를 디지털 영상 신호로 변환하고, 변환된 디지털 영상 신호를 수신해 영상 신호를 처리하여 저장할 수 있는 디지털 카메라를 이용한 화질 개선 방법으로서,A method of improving image quality using a digital camera capable of converting image data photographed from an image pickup device into a digital image signal, receiving the converted digital image signal, and processing and storing the image signal,
촬영된 영상 데이터에 대한 사용자의 변환 여부 선택을 체크하여, 영상 데이터 변환이 가능한 변환 함수를 상기 사용자가 선택한 기준값으로 수정하는 단계;Checking a user's selection of whether or not to convert the captured image data, and modifying a conversion function capable of converting the image data to a reference value selected by the user;
수정된 변환 함수를 촬영된 원 영상 데이터와 매칭시켜 변환하는 단계Converting the modified conversion function by matching the captured original image data
를 포함한다.It includes.
이하에서는 본 발명의 기술 분야에서 통상의 지식을 가진 자가 본 발명을 용이하게 실시할 수 있는 가장 바람직한 실시 예를 첨부한 도면을 참조하여 상세히 설명한다.DETAILED DESCRIPTION Hereinafter, exemplary embodiments of the present invention will be described in detail with reference to the accompanying drawings.
도1은 본 발명의 실시 예에 따른 화질 개선 카메라를 나타내는 구성 블록도 이다.1 is a block diagram illustrating an image quality improving camera according to an exemplary embodiment of the present invention.
첨부한 도1에서와 같이, 본 발명의 실시 예에 따른 화질을 개선할 수 있는 카메라는, 입력 영상을 조절하여 일정한 영상을 출력하는 렌즈로부터 출력되는 영상을 입력받아 전기 신호로 변환하여 출력하는 씨씨디(CCD : Charge Coupled Device, 100); 씨씨디(100)로부터 출력되는 영상 신호를 디지털 영상 신호로 변환하는 A/D 컨버터(200); A/D 컨버터(200)로부터 변환된 디지털 영상 신호를 수신하여 영상 신호를 처리하고, 프레임 메모리(400)에 영상 신호를 저장하는 디지털 카메라 프로세서(DCP : Digital Camera Processor, 이하 DCP라 칭함)(300); DCP(300)에서 신호 처리된 결과 영상 신호를 수신하여 임시 저장하는 버퍼(500); DCP(300)에서 신호 처리된 영상 신호를 버퍼(500)로부터 호출하여 색 신호 처리, 영상 신호의 압축을 수행하고, 변환 특성 곡선 데이터가 저장된 프로그램 메모리(700)로부터 사용자가 선택한 변환 특성 곡선 선택 사항을 매칭 시켜 이에 따라 영상 데이터를변환하여 메모리 카드(800)에 저장하는 마이컴(Micom,600)을 포함한다.As shown in FIG. 1, a camera capable of improving image quality according to an exemplary embodiment of the present disclosure may receive an image output from a lens that outputs a constant image by adjusting an input image, and converts the image into an electrical signal for output. D (CCD: Charge Coupled Device, 100); An A / D converter 200 for converting an image signal output from the CD 100 into a digital image signal; A digital camera processor (DCP: Digital Camera Processor (DCP)), which receives the converted digital image signal from the A / D converter 200, processes the image signal, and stores the image signal in the frame memory 400 (300) ); A buffer 500 for receiving and temporarily storing the resultant image signal processed by the DCP 300; The conversion characteristic curve selection selected by the user from the program memory 700 in which the image signal processed by the DCP 300 is called from the buffer 500 to perform color signal processing and compression of the image signal, and the conversion characteristic curve data is stored. And micom 600 for converting the image data accordingly and storing the image data in the memory card 800.
도2a 및 도2b는 변환 함수의 특성 곡선을 설정하는 방법을 나타내는 그래프이다.2A and 2B are graphs showing a method of setting a characteristic curve of a transform function.
첨부한 도2a의 (1)은 아크 탄젠트형의 특성 곡선을 나타내는 그래프로서, 선명도 확장(contrast stretching)에 적용할 수 있다. 즉, 도2a의 (1)에 나타낸 아크 탄젠트형 특성 곡선의 중앙 영역을 좌로 이동시키면 도2a의 (2)의 특성 곡선을 얻을 수 있는데, 이 특성 곡선은 피사체의 배경이 어두운 경우 적용할 수 있는 특성 곡선이다. 그리고, 도2a의 (3)은 아크 탄젠트형 특성 곡선의 중앙 영역을 우로 이동시킨 특성 곡선으로서, 밝은 피사체 영상의 경우 밝은 레벨에 집중되어 있는 영상 데이터 값을 저주파 대역으로 확산시켜 보다 나은 화질을 제공할 수 있다.2A (1) is a graph showing an arc tangent type characteristic curve and can be applied to contrast stretching. That is, by moving the center region of the arc tangent characteristic curve shown in (1) of FIG. 2A to the left, the characteristic curve of (2) of FIG. 2A can be obtained, which can be applied when the background of the subject is dark. Characteristic curve. In addition, (3) of FIG. 2A is a characteristic curve in which the center region of the arc tangent characteristic curve is shifted to the right, and in the case of a bright subject image, image data values concentrated at a bright level are diffused to a low frequency band to provide better image quality. can do.
변환 함수는 프로그램 메모리(700)에 저장되는데, 8비트(BIT)데이터의 경우 256 레벨이므로, 256바이트(BITE)의 메모리 영역이 필요하며, 본 발명이 실시 예에만 한정되는 것은 아니다.The conversion function is stored in the program memory 700. Since 8-bit data is 256 levels, a 256-byte memory area is required, and the present invention is not limited to the exemplary embodiment.
변환 함수는 아크 탄젠트형 함수 또는 감마( gamma )함수 또는 사용자 정의 임의의 함수를 사용할 수 있으며, 본 발명이 실시 예에만 한정되는 것은 아니다.The conversion function may use an arc tangent function, a gamma function, or a user-defined arbitrary function, and the present invention is not limited to the embodiment.
사용자는 다양한 촬영 환경에 적절히 대응하여 변환 함수의 특성 곡선을 임의대로 설정할 수 있다. 첨부한 도2b에서와 같이, 사용자가 a, b, c, d와 같은 기준점을 설정하면, 마이컴(600)은 설정된 기준점으로부터 곡선 처리한다. 기준점의 좌표값은 디지털 카메라의 도시하지 않은 메뉴 선택부로부터 사용자의 입력 좌표값을 입력받는데, 입력된 결과로 설정된 변환 함수는 디지털 카메라의 도시하지 않은모니터를 통해 확인할 수 있으며, 사용자는 반복되는 기준점 설정과정을 통해 개선된 화질을 선택할 수 있다.The user can arbitrarily set the characteristic curve of the conversion function in correspondence with various shooting environments. As shown in FIG. 2B, when the user sets reference points such as a, b, c, and d, the microcomputer 600 curves from the set reference point. The coordinate value of the reference point receives the input coordinate value of the user from a menu selection unit (not shown) of the digital camera. The conversion function set as the input result can be confirmed through a monitor (not shown) of the digital camera. You can select the improved picture quality through the setting process.
이하에서는 본 발명의 실시 예에 따른 화질을 개선할 수 있는 디지털 카메라의 작용에 대하여 첨부한 도면을 참조하여 상세히 설명한다.Hereinafter, an operation of a digital camera capable of improving image quality according to an embodiment of the present invention will be described in detail with reference to the accompanying drawings.
도3은 본 발명의 실시 예에 따른 카메라의 화질 개선 방법을 나타내는 흐름도 이다.3 is a flowchart illustrating a method of improving image quality of a camera according to an exemplary embodiment of the present invention.
사용자는 디지털 카메라의 도시하지 않은 모드 선택부를 조작하여 촬영 모드를 선택한다(S100).The user selects a shooting mode by operating a mode selection unit (not shown) of the digital camera (S100).
마이컴(600)은 사용자의 모드 선택부 조작 상황을 체크하여, 사용자가 촬영된 영상을 메모리 카드(800)에 저장하는 모드를 선택하였는지를 체크한다(S110).The microcomputer 600 checks the operation state of the mode selector of the user and checks whether the user selects a mode for storing the captured image in the memory card 800 (S110).
사용자가 피사체에 대한 촬영을 개시하면, 씨씨디(100)는 입력 영상을 조절하여 일정한 영상을 출력하는 렌즈로부터 출력되는 영상을 입력받아 전기 신호로 변환하여 A/D 컨버터(200)에 출력한다. A/D 컨버터(200)는 씨씨디(100)로부터 출력되는 영상 신호를 디지털 영상 신호로 변환하여 DCP(300)에 전달한다. DCP(300)는 A/D 컨버터(200)로부터 변환된 디지털 영상 신호를 수신하여 영상 신호를 처리하고, 프레임 메모리(400)에 영상 신호를 저장한다. 버퍼(500)는 DCP(300)에서 신호 처리된 결과 영상 신호를 수신하여 임시 저장한다.When the user starts photographing the subject, the CD 100 receives an image output from a lens that outputs a constant image by adjusting the input image, converts the image into an electrical signal, and outputs the converted image to the A / D converter 200. The A / D converter 200 converts the video signal output from the CD 100 into a digital video signal and transmits the converted video signal to the DCP 300. The DCP 300 receives the digital image signal converted from the A / D converter 200 to process the image signal, and stores the image signal in the frame memory 400. The buffer 500 receives and temporarily stores a resultant image signal processed by the DCP 300.
만일, 사용자가 촬영된 영상 데이터를 메모리 카드(800)에 저장하는 모드를 선택하였다면, 마이컴(600)은 버퍼(500)에 저장된 영상 데이터를 호출하여 메모리 카드(800)에 저장한다(S120).If the user selects a mode for storing the captured image data in the memory card 800, the microcomputer 600 calls the image data stored in the buffer 500 and stores the image data in the memory card 800 (S120).
마이컴(600)은 사용자가 도시하지 않은 모니터를 통해 촬영된 영상 데이터를 확인하여 변환 함수 수정 모드를 선택하는지를 체크하고(S130), 사용자가 변환 함수 수정 모드를 선택하였으면, 첨부한 도2b에서와 같은 사용자 기준점 선택 과정을 통해 프로그램 메모리(700)에 저장된 변환 함수를 수정한다(S140).The microcomputer 600 checks whether the user selects the conversion function correction mode by checking the image data photographed through a monitor (not shown) (S130). When the user selects the conversion function correction mode, the microcomputer 600 as shown in FIG. The conversion function stored in the program memory 700 is modified through the user reference point selection process (S140).
기준점 선택이 완료되면, 마이컴(600)은 기준점 선택에 따라 변환 곡선을 매끄럽게 처리하고, 처리 결과에 따라 프레임 메모리(400)에 저장된 영상 데이터를 매칭 시키며 영상 데이터를 변환한다(S150).When the reference point selection is completed, the microcomputer 600 smoothly processes the conversion curve according to the reference point selection, matches the image data stored in the frame memory 400 according to the processing result, and converts the image data (S150).
마이컴(600)은 프레임 메모리(400)에 저장된 변환 함수가 적용된 영상 데이터를 호출하여 메모리 카드(800)에 저장한다(S160).The microcomputer 600 calls image data to which the conversion function stored in the frame memory 400 is applied and stores the image data in the memory card 800 (S160).
DCP(300)는 변환 곡선이 적용된 영상을 신호 처리하여 모니터에 디스플레이 한다(S170).The DCP 300 signals the image to which the conversion curve is applied and displays the same on the monitor (S170).
사용자는 모니터에 디스플레이 된 영상 데이터를 확인하고, 마이컴(600)은 사용자의 영상 데이터 이상 발견에 의한 변환 함수 재 설정 모드가 선택되는지를 체크하며(S180), 만일 사용자로부터 영상 데이터의 재 설정 모드 선택이 감지되면 메모리 카드(800)에 기록하는 단계(S110)로 리턴 한다.The user checks the image data displayed on the monitor, and the microcomputer 600 checks whether the conversion function reset mode by the user's image data abnormality detection is selected (S180), and selects the reset mode of the image data from the user. If detected, the process returns to step S110 of recording to the memory card 800.
도4는 변환 함수 설정 방법의 일례를 나타내는 흐름도 이다.4 is a flowchart showing an example of a method of setting a transform function.
첨부한 도4에서와 같이, 마이컴(600)은 사용자의 변환 함수 수정 모드 선택을 체크하여(S300), 변환 함수 수정 모드 선택이 감지되면 변환 함수 기준점을 설정하도록 표시하고, 사용자는 수정하고자 하는 변환 함수의 기준점 좌표값 n(x, y)을 입력한다(S310).As shown in FIG. 4, the microcomputer 600 checks the user's selection of the conversion function modification mode (S300), and when the selection of the conversion function modification mode is detected, the micom 600 displays a reference to set the conversion function reference point. The reference point coordinate value n (x, y) of the function is input (S310).
마이컴(600)은 사용자가 입력한 기준점 좌표값을 모드 선택부로부터 전달받아 현재 입력한 기준점 좌표값(n)이 프로그램 메모리(700)에 저장된 특정 설정값(N)과 동일한지를 체크한다(S320).The microcomputer 600 receives the reference point coordinate value input by the user from the mode selector and checks whether the reference point coordinate value n currently input is equal to the specific setting value N stored in the program memory 700 (S320). .
만일, 입력된 기준점 좌표값(n)이 특정 설정값(N)과 동일하면, 마이컴(600)은 사용자로부터의 모드 선택부를 통한 매끄러운 곡선(SMOOTHING)처리 선택 여부를 체크한다(S330).If the input reference point coordinate value n is equal to the specific setting value N, the microcomputer 600 checks whether a smooth curve processing is selected through the mode selection unit from the user (S330).
만일, 사용자에 의해 입력된 기준점 좌표값(n)이 특정 설정값(N)과 동일하지 않으면, 마이컴(600)은 기준점 좌표값을 하나씩 증가시키며(S340) 사용자로 하여금 특정 설정값에 맞는 기준점 좌표값을 입력하도록 모니터에 표시한다.If the reference point coordinate value n input by the user is not the same as the specific setting value N, the microcomputer 600 increases the reference point coordinate value by one (S340) and allows the user to adjust the reference point coordinate corresponding to the specific setting value. Display on the monitor to enter a value.
사용자의 SMOOTHING 처리 모드 선택이 감지되면 선택된 기준점을 기준으로 SMOOTHING 처리한다(S350).If the user's selection of the SMOOTHING processing mode is detected, the SMOOTHING processing is performed based on the selected reference point (S350).
도5는 도4의 변환 함수 설정 방법을 설명하기 위한 그래프이다.FIG. 5 is a graph for explaining a method of setting a conversion function of FIG. 4.
첨부한 도5에서는, 특정 설정값(N)이 3인 경우를 나타내는데, 사용자가 기준점 좌표값 n(x, y)의 설정에 대한 입력이 완료되면, 마이컴(600)이 기준점 좌표값을 기준으로 SMOOTHING 처리한다.In FIG. 5, the specific setting value N is 3, and when the user input of the setting of the reference point coordinate value n (x, y) is completed, the microcomputer 600 is based on the reference point coordinate value. SMOOTHING
SMOOTHING 처리가 완료되면, 마이컴(600)은 처리된 변환 함수를 모니터에 디스플레이 한다(S360).When the SMOOTHING processing is completed, the microcomputer 600 displays the processed conversion function on the monitor (S360).
만일, 디스플레이 된 변환 함수의 만족 여부가 사용자에 의해 판단되면(S370), 마이컴(60O)은 변환 함수를 수정할 수 있다. 즉, 사용자는 만족되지 않은 변환 함수를 수정하기 위해 기준점(n)을 다시 선택하고(S380), 기준점에해당하는 좌표값 n(x, y)을 재입력한다(S390). 마이컴(600)은 사용자에 의해 재입력된 기준점으로 상기한 바와 같이 SMOOTHING 처리를 수행한다.If it is determined by the user whether the displayed conversion function is satisfied (S370), the microcomputer 60O may modify the conversion function. That is, the user selects the reference point n again to correct the unsatisfied conversion function (S380), and inputs the coordinate values n (x, y) corresponding to the reference point (S390). The microcomputer 600 performs the SMOOTHING process as described above with the reference point re-entered by the user.
도6은 본 발명의 실시 예에 따른 화질 개선 결과를 나타내는 도면이다.6 is a diagram illustrating an image quality improvement result according to an exemplary embodiment of the present invention.
첨부한 도6에서와 같이, 역광의 경우 종래의 디지털 카메라는 피사체의 얼굴이 검게 나오는데, 본 발명의 실시 예와 같이 변환 함수의 적용을 통해 촬영 영상을 변환시키면 얼굴 부분에 대한 어두운 영역을 밝은 영역으로 확대시켜 줌으로써, 영상을 개선할 수 있다.As shown in FIG. 6, in the case of backlight, a conventional digital camera has a black face of a subject. When the photographed image is converted through the application of a conversion function as in the embodiment of the present invention, the dark area of the face part is a bright area. By zooming in, the image can be improved.
본 발명의 실시 예는 하나의 실시 예에 지나지 않으며, 본 발명의 요지를 벗어나지 않는 범위 내에서 변환 함수의 설정에 많은 변형 및 변경이 가능함은 물론이며, 본 발명이 실시 예에만 한정되는 것은 아니다.The embodiment of the present invention is only one embodiment, and many variations and modifications may be made to the setting of the conversion function without departing from the gist of the present invention, and the present invention is not limited to the embodiment.
이상에서와 같이, 본 발명의 화질을 개선할 수 있는 디지털 카메라 및 그 화질 개선 방법은 촬영된 영상을 메모리에 저장할 때 하나 이상의 영상 변환 함수를 이용하여 영상 데이터를 기록함으로써 카메라 내부에서 촬영된 영상의 화질을 개선할 수 있다.As described above, a digital camera capable of improving the image quality of the present invention and a method of improving the image quality of the digital camera can record image data using one or more image conversion functions when storing the captured image in a memory. You can improve the picture quality.
또한, 다양한 형태의 변환 함수를 촬영된 영상에 적용하여 선명도 확장, 이퀄라이징, 특정 레벨 영역의 확대를 통한 역광 보정, WDR 등의 기능을 수행하는 디지털 카메라를 제공하고자 하는 데 또 다른 목적이 있다.In addition, another object of the present invention is to provide a digital camera that performs various functions such as widening of clarity, equalization, backlight compensation by enlarging a specific level region, and WDR by applying various types of conversion functions to the captured image.
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2001
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