CN106600525A - Picture fuzzy processing method and system - Google Patents
Picture fuzzy processing method and system Download PDFInfo
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- CN106600525A CN106600525A CN201611130007.0A CN201611130007A CN106600525A CN 106600525 A CN106600525 A CN 106600525A CN 201611130007 A CN201611130007 A CN 201611130007A CN 106600525 A CN106600525 A CN 106600525A
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- G—PHYSICS
- G06—COMPUTING OR CALCULATING; COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T3/00—Geometric image transformations in the plane of the image
- G06T3/18—Image warping, e.g. rearranging pixels individually
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Abstract
The invention provides a picture fuzzy processing method and system. The picture fuzzy processing method includes obtaining a target picture; determining a fuzzy object of the target picture according to a preset fuzzy object and determining a fuzzy area corresponding to the fuzzy object; and performing fuzzy processing on the fuzzy area. The picture fuzzy processing method provided by the invention can automatically identify the fuzzy area corresponding to the fuzzy object in the picture, does not need a user to operate for multiple times, and reduces the risk of privacy leakage on the premise of ensuring that the picture is beautiful.
Description
Technical field
The present invention relates to technical field of image processing, more particularly to a kind of picture blur processing method and system.
Background technology
In prior art, user in order to protect picture in privacy information, typically picture is entered using image editing software
Row Fuzzy Processing.But needing user repeatedly to touch on the touchscreen could obscure to objective fuzzy region.In the mistake for touching
Cheng Zhong, relative to objective fuzzy region, may be too big or too little because of touch area, or the edge of touch area is not whole
Together, it is not reaching to the Expected Results of user.So user can only select to cancel the touch area, and again again deblurring is waited to obscure
Region.And when have in picture it is multiple whne fuzzy object when, user may forget to treat that fuzzy object is obscured to one of them,
Cause privacy of user leakage.
The content of the invention
In view of the foregoing, it is necessary to which a kind of picture blur processing method and system are provided, can automatic identification picture middle mold
The corresponding fuzzy region of paste object, without the need for user's multi-pass operation, on the premise of ensureing that picture is attractive in appearance, while reducing privacy leakage
Risk.
A kind of picture blur processing method, in being applied to electronic equipment, methods described includes：
Obtain Target Photo；
The fuzzy object of the Target Photo is determined according to default fuzzy object, and determines the corresponding mould of the fuzzy object
Paste region；And
Fuzzy Processing is carried out to the fuzzy region.
According to the preferred embodiment of the present invention, methods described also includes：
The fuzzy object of the self-defined setting of receive user；
The fuzzy object of self-defined setting is set to into default fuzzy object.
According to the preferred embodiment of the present invention, methods described also includes：
The corresponding fuzzy region of the fuzzy object is indicated using display box.
It is described Fuzzy Processing is carried out to the fuzzy region also to include according to the preferred embodiment of the present invention：
Obtain fine setting instruction；
The fuzzy region after being instructed to obscuring according to the fine setting is finely adjusted.
It is described Fuzzy Processing is carried out to the fuzzy region also to include according to the preferred embodiment of the present invention：
Obtain cancel an order；And
According to the Fuzzy Processing that cancel an order revocation is carried out to the fuzzy region.
A kind of picture blur processing system, the system includes：
Acquisition module, for obtaining Target Photo；
Determining module, for determining the fuzzy object of the Target Photo according to default fuzzy object, and determines the mould
The corresponding fuzzy region of paste object；And
Fuzzy Processing module, for carrying out Fuzzy Processing to the fuzzy region.
According to the preferred embodiment of the present invention, the system also includes：
Setup module, for the fuzzy object of the self-defined setting of receive user；
The setup module is additionally operable to for the fuzzy object of self-defined setting to be set to default fuzzy object.
According to the preferred embodiment of the present invention, the system also includes：
Sign module, for indicating the corresponding fuzzy region of the fuzzy object using display box.
According to the preferred embodiment of the present invention, the Fuzzy Processing module is used to carry out Fuzzy Processing bag to the fuzzy region
Include：
Obtain fine setting instruction；
The fuzzy region after being instructed to obscuring according to the fine setting is finely adjusted.
According to the preferred embodiment of the present invention, the Fuzzy Processing module is used to carry out Fuzzy Processing bag to the fuzzy region
Include：
Obtain cancel an order；And
According to the Fuzzy Processing that cancel an order revocation is carried out to the fuzzy region.
A kind of electronic equipment, the electronic equipment includes memorizer and processor；
The memorizer is used for storage at least one and instructs；
The processor processes at least one instruction, for obtaining Target Photo；Determined according to default fuzzy object
The fuzzy object of the Target Photo, and determine the corresponding fuzzy region of the fuzzy object；And the fuzzy region is carried out
Fuzzy Processing.
As can be seen from the above technical solutions, the present invention obtains Target Photo, and according to default fuzzy object the mesh is determined
Mark on a map the fuzzy object of piece, and determine the corresponding fuzzy region of the fuzzy object, Fuzzy Processing is carried out to the fuzzy region.
The corresponding fuzzy region of fuzzy object in energy automatic identification picture of the invention, without the need for user's multi-pass operation, is ensureing that picture is attractive in appearance
On the premise of, while reducing the risk of privacy leakage.
Description of the drawings
Fig. 1 is the flow chart of the preferred embodiment of picture blur processing method of the present invention.
Fig. 2 is the functional block diagram of the preferred embodiment of picture blur processing system of the present invention.
Fig. 3 is the structural representation of the electronic equipment of the preferred embodiment that the present invention realizes picture blur processing method.
Main element symbol description
Electronic equipment 1
Memorizer 12
Processor 13
Display device 14
Picture blur processing system 11
Acquisition module 100
Determining module 101
Setup module 102
Sign module 103
Fuzzy Processing module 104
Specific embodiment
In order that the object, technical solutions and advantages of the present invention are clearer, below in conjunction with the accompanying drawings with specific embodiment pair
The present invention is described in detail.
As shown in figure 1, being the flow chart of the first preferred embodiment of picture blur processing method of the present invention.According to different
Demand, the order of step can change in the flow chart, and some steps can be omitted.
The picture blur processing method is applied in one or more electronic equipment, and the electronic equipment is a kind of energy
It is enough according to the instruction being previously set or store, the equipment that numerical computations and/or information processing are carried out automatically, its hardware including but not
It is limited to microprocessor, special IC (Application Specific Integrated Circuit, ASIC), can compiles
Journey gate array (Field-Programmable Gate Array, FPGA), digital processing unit (Digital Signal
Processor, DSP), embedded device etc..
The electronic equipment can also be that any one can carry out the electronic product of man-machine interaction with user, for example, personal
Computer, panel computer, smart mobile phone, personal digital assistant (Personal Digital Assistant, PDA), game machine,
IPTV (Internet Protocol Television, IPTV), intellectual Wearable etc..The electronics
Network residing for equipment includes but is not limited to the Internet, wide area network, Metropolitan Area Network (MAN), LAN, VPN (virtual private network) (Virtual
Private Network, VPN) etc..
S10, the electronic equipment obtains Target Photo.
In at least one embodiment of the present invention, the specific embodiment of the electronic equipment acquisition Target Photo is：
User selects any one pictures, the figure that the electronic equipment chooses user from the picture being stored in the electronic equipment
Piece is used as Target Photo；Or, the electronic equipment obtains Target Photo by photographic head；Or, the electronic equipment is received
The picture that another electronic equipment sends, and using the picture as Target Photo etc..
It is pointed out that the electronic equipment obtains the mode of Target Photo many kinds, the present invention does not appoint to this
What is limited.
S11, the electronic equipment determines the fuzzy object of the Target Photo according to default fuzzy object, and determines described
The corresponding fuzzy region of fuzzy object.
In at least one embodiment of the present invention, the default fuzzy object is and private data (individual privacy, sensitivity
Data etc.) related information, such as user images, user name, mailbox, phone, Quick Response Code.The electronic equipment is stored with
At least one default fuzzy object.The default fuzzy object can be multiple.
In at least one embodiment of the present invention, can be deposited from electronic equipment according to the Target Photo by user
The default fuzzy object, the electronic equipment is selected to obtain default fuzzy right selected by user in the default fuzzy object of storage
As, and according to selected default fuzzy object, using image recognition algorithm the fuzzy object of the Target Photo is recognized.Also may be used
To utilize image recognition algorithm automatically by electronic equipment, each default fuzzy object and the Target Photo are carried out into match cognization
The fuzzy object of the Target Photo.
In at least one embodiment of the present invention, the default fuzzy object can also be arranged by User Defined, institute
The fuzzy object of the self-defined setting of electronic equipment receive user is stated, and the fuzzy object of self-defined setting is set to default fuzzy
Object.
It is pointed out that described image recognizer is prior art well known to those skilled in the art, here does not exist
Describe in detail, the present invention is not intended to be limited in any to image recognition algorithm.
In at least one embodiment of the present invention, when the electronic equipment determines the fuzzy object of the Target Photo
Afterwards, the corresponding fuzzy region of the fuzzy object is indicated using display box (such as rectangle frame, triangle).In other embodiment
In, in order to prevent identification error, user can according to the fine position of the fuzzy object display box with described in adjusting
Fuzzy region, for example, reduce the display box, amplifies the display box, the described display box of movement etc..
In other embodiments, it is also possible to do not adopt display box (such as rectangle frame, triangle) sign described fuzzy right
As corresponding fuzzy region, after the fuzzy region is determined, directly Fuzzy Processing is carried out to the fuzzy region, subsequently again
By user to obscure after the fuzzy region finely tune.
S12, the electronic equipment carries out Fuzzy Processing to the fuzzy region.
In at least one embodiment of the present invention, the electronic equipment is carried out using fuzzy rule to the fuzzy region
Fuzzy Processing.The fuzzy rule has various ways：Can be in the fuzzy region add mosaic, in the confusion region
Add personalized photo (as will be described the face in fuzzy region is replaced with smiling face) on domain, by the word in the fuzzy region
Data are replaced using other characters, such as adopt “ $%＆# " replace.It is pointed out that the fuzzy rule can be according to user
Custom arrange, the present invention fuzzy rule is not intended to be limited in any.
The fuzzy rule can be the fuzzy rule that user chooses from the fuzzy rule for being stored, or
The electronic equipment arbitrarily chooses a fuzzy rule from the fuzzy rule for being stored.
In at least one embodiment of the present invention, the electronic equipment also obtains fine setting instruction, is referred to according to the fine setting
Order is finely adjusted to the fuzzy region, and the fine setting instruction includes, but are not limited to：Adjust the fog-level of the fuzzy region
(for example, deepening color of mosaic etc.), Fuzzy Processing of the revocation to the selected region of user.In revocation to selected by user
After the Fuzzy Processing in the region selected, the picture in selected region be recovered to without Fuzzy Processing before picture.
In at least one embodiment of the present invention, user can also cancel the fuzzy operation to the fuzzy region, example
As having revocation option in user interface, by the Fuzzy Processing for selecting revocation option revocation to carry out the fuzzy region,
Fuzzy operation of the other modes revocation to the fuzzy region, the present invention can be adopted not to be limited, therefore, the electronic equipment
Obtain cancel an order, and the Fuzzy Processing carried out to the fuzzy region according to cancel an order revocation.
In at least one embodiment of the present invention, the setting options of the electronic equipment include intelligent fuzzy option.When
User is clicked on after the intelligent fuzzy option, it is possible to which picture is obscured automatically, i.e. above-mentioned S10 to S12 institutes are realized in triggering
The image blurring method stated.
The present invention obtains Target Photo, and according to default fuzzy object the fuzzy object of the Target Photo is determined, and determines
The corresponding fuzzy region of the fuzzy object, to the fuzzy region Fuzzy Processing is carried out.In energy automatic identification picture of the invention
The corresponding fuzzy region of fuzzy object, without the need for user's multi-pass operation, on the premise of ensureing that picture is attractive in appearance, while reduce privacy letting out
The risk of dew.
As shown in Fig. 2 the functional block diagram of the embodiment of picture blur processing system of the present invention.The picture blur is processed
System 11 includes acquisition module 100, determining module 101, setup module 102, sign module 103 and Fuzzy Processing module 104.
Module alleged by the present invention is referred to and a kind of can be performed by processor 13 and can complete the series of computation of fixing function
Machine program segment, its storage is in memory 12.In the present embodiment, with regard to each module function by follow-up embodiment three and
Describe in detail in example IV.
Acquisition module 100 obtains Target Photo.
In at least one embodiment of the present invention, the acquisition module 100 obtains the specific embodiment of Target Photo
For：User selects any one pictures, the acquisition module 100 to select user from the picture being stored in the electronic equipment
The picture for taking is used as Target Photo；Or, the acquisition module 100 obtains Target Photo by photographic head；Or, the acquisition
Module 100 receives the picture that another electronic equipment sends, and using the picture as Target Photo etc..
It is pointed out that the acquisition module 100 obtains the mode of Target Photo many kinds, the present invention does not make to this
Any restriction.
Electronic equipment described in determining module 101 determines the fuzzy object of the Target Photo according to default fuzzy object, and
Determine the corresponding fuzzy region of the fuzzy object.
In at least one embodiment of the present invention, the default fuzzy object is and private data (individual privacy, sensitivity
Data etc.) related information, such as user images, user name, mailbox, phone, Quick Response Code.The electronic equipment is stored with
At least one default fuzzy object.The default fuzzy object can be multiple.
In at least one embodiment of the present invention, can be deposited from electronic equipment according to the Target Photo by user
The default fuzzy object, the determining module 101 is selected to obtain the default mould selected by user in the default fuzzy object of storage
Paste object, and according to selected default fuzzy object, using image recognition algorithm the fuzzy object of the Target Photo is recognized.
Can also the determining module 101 utilize image recognition algorithm automatically, each default fuzzy object and the Target Photo are entered
The fuzzy object of Target Photo described in row match cognization.
In at least one embodiment of the present invention, the default fuzzy object can also be arranged by User Defined, institute
The fuzzy object of the self-defined setting of the receive user of setup module 102 is stated, and the fuzzy object of self-defined setting is set to preset
Fuzzy object.
It is pointed out that described image recognizer is prior art well known to those skilled in the art, here does not exist
Describe in detail, the present invention is not intended to be limited in any to image recognition algorithm.
In at least one embodiment of the present invention, when the electronic equipment determines the fuzzy object of the Target Photo
Afterwards, indicate module 103 and the corresponding fuzzy region of the fuzzy object is indicated using display box (such as rectangle frame, triangle).
In other embodiments, in order to prevent identification error, user from can show according to the fine position of the fuzzy object
Frame reduces the display box to adjust the fuzzy region, such as, amplifies the display box, the described display box of movement etc..
In other embodiments, it is also possible to do not adopt display box (such as rectangle frame, triangle) sign described fuzzy right
As corresponding fuzzy region, after the fuzzy region is determined, directly Fuzzy Processing is carried out to the fuzzy region, subsequently again
By user to obscure after the fuzzy region finely tune.
104 pairs of fuzzy regions of Fuzzy Processing module carry out Fuzzy Processing.
In at least one embodiment of the present invention, the Fuzzy Processing module 104 is obscured using fuzzy rule to described
Region carries out Fuzzy Processing.The fuzzy rule has various ways：Can be in the fuzzy region add mosaic, in institute
State and add in fuzzy region personalized photo (as will be described the face in fuzzy region is replaced with smiling face), by the fuzzy region
In lteral data replaced using other characters, such as adopt “ $%＆# " replace.It is pointed out that the fuzzy rule can be with
Arranged according to the custom of user, the present invention is not intended to be limited in any to the fuzzy rule.
The fuzzy rule can be the fuzzy rule that user chooses from the fuzzy rule for being stored, or
The electronic equipment arbitrarily chooses a fuzzy rule from the fuzzy rule for being stored.
In at least one embodiment of the present invention, the Fuzzy Processing module 104 also obtains fine setting instruction, according to described
Fine setting instruction is finely adjusted to the fuzzy region, and the fine setting instruction includes, but are not limited to：Adjust the mould of the fuzzy region
Paste degree (for example, deepening color of mosaic etc.), Fuzzy Processing of the revocation to the selected region of user.Revocation to
After the Fuzzy Processing in the selected region in family, the picture in selected region be recovered to without Fuzzy Processing before picture.
In at least one embodiment of the present invention, user can also cancel the fuzzy operation to the fuzzy region, example
As having revocation option in user interface, by the Fuzzy Processing for selecting revocation option revocation to carry out the fuzzy region,
Fuzzy operation of the other modes revocation to the fuzzy region, the present invention can be adopted not to be limited, therefore, the Fuzzy Processing
Module 104 obtains cancel an order, and the Fuzzy Processing carried out to the fuzzy region according to cancel an order revocation.
In at least one embodiment of the present invention, the setting options of the electronic equipment include intelligent fuzzy option.When
User is clicked on after the intelligent fuzzy option, it is possible to which picture is obscured automatically, i.e. institute in above-described embodiment is realized in triggering
State image blurring system.
The present invention obtains Target Photo, and according to default fuzzy object the fuzzy object of the Target Photo is determined, and determines
The corresponding fuzzy region of the fuzzy object, to the fuzzy region Fuzzy Processing is carried out.In energy automatic identification picture of the invention
The corresponding fuzzy region of fuzzy object, without the need for user's multi-pass operation, on the premise of ensureing that picture is attractive in appearance, while reduce privacy letting out
The risk of dew.
The above-mentioned integrated unit realized in the form of software function module, can be stored in an embodied on computer readable and deposit
In storage media.Above-mentioned software function module is stored in a storage medium, including some instructions are used so that a computer
Equipment (can be personal computer, server, or network equipment etc.) or processor (processor) perform the present invention each
The part steps of embodiment methods described.
As shown in figure 3, Fig. 3 is the structure of the electronic equipment of the preferred embodiment that the present invention realizes picture blur processing method
Schematic diagram.The electronic equipment 1 includes memorizer 12, processor 13 and display device 14.
The electronic equipment 1 be it is a kind of can according to the instruction being previously set or store, carry out automatically numerical computations and/or
The equipment of information processing, its hardware includes but is not limited to microprocessor, special IC (Application Specific
Integrated Circuit, ASIC), programmable gate array (Field-Programmable Gate Array, FPGA), number
Word processing device (Digital Signal Processor, DSP), embedded device etc..
Also including but is not limited to any one can be with user by keyboard, mouse, remote control, touch pad or voice-operated device etc.
Mode carries out the electronic product of man-machine interaction, for example, personal computer, panel computer, smart mobile phone, personal digital assistant
(Personal Digital Assistant, PDA), game machine, IPTV (Internet Protocol
Television, IPTV), intellectual Wearable etc..
Network residing for the electronic equipment 1 include but is not limited to the Internet, wide area network, Metropolitan Area Network (MAN), LAN, it is virtual specially
With network (Virtual Private Network, VPN) etc..
The memorizer 12 is used to store the program and various data of a kind of picture blur processing method, and in the electronics
High speed is realized in the running of equipment 1, the access of program or data is automatically completed.The memorizer 12 can be electronic equipment
1 external memory storage and/or internal storage.Further, the memorizer 12 can be without material object shape in integrated circuit
The circuit with store function of formula, such as RAM (Random-Access Memory, random access memory), FIFO (First
In First Out) etc..Or, the memorizer 12 can also be the memorizer with physical form, such as memory bar, TF cards
(Trans-flash Card) etc..
The processor 13, also known as central processing unit (CPU, Central Processing Unit), is one piece of super large rule
The integrated circuit of mould, is the arithmetic core (Core) and control core (Control Unit) of electronic equipment 1.The processor 13
The operating system of the executable electronic equipment 1 and types of applications program, the program code of installation etc., such as at picture blur
Reason system 11.
Equipment of the display device 14 including touch screen etc. for showing.
The picture blur processing system 11 obtains Target Photo, and according to default fuzzy object the Target Photo is determined
Fuzzy object, and determine the corresponding fuzzy region of the fuzzy object, Fuzzy Processing is carried out to the fuzzy region.Energy of the present invention
The corresponding fuzzy region of fuzzy object in automatic identification picture, without the need for user's multi-pass operation, on the premise of ensureing that picture is attractive in appearance,
The risk of privacy leakage is reduced simultaneously.
With reference to Fig. 1, the memorizer 12 in the electronic equipment 1 stores multiple instruction to realize at a kind of picture blur
Reason method, the processor 13 can perform the plurality of instruction so as to realize：Obtain Target Photo；It is true according to default fuzzy object
The fuzzy object of the fixed Target Photo, and determine the corresponding fuzzy region of the fuzzy object；And the fuzzy region is entered
Row Fuzzy Processing.
The processor 13 also performs multiple instruction to be included：
The fuzzy object of the self-defined setting of receive user；
The fuzzy object of self-defined setting is set to into default fuzzy object.
The processor 13 also performs multiple instruction to be included：
The corresponding fuzzy region of the fuzzy object is indicated using display box.
It is described Fuzzy Processing is carried out to the fuzzy region also to include according to the preferred embodiment of the present invention：
Obtain fine setting instruction；
The fuzzy region after being instructed to obscuring according to the fine setting is finely adjusted.
It is described Fuzzy Processing is carried out to the fuzzy region also to include according to the preferred embodiment of the present invention：
Obtain cancel an order；And
According to the Fuzzy Processing that cancel an order revocation is carried out to the fuzzy region.
Specifically, the processor 13 is referred in Fig. 1, Fig. 2 correspondence embodiment to the concrete methods of realizing of above-mentioned instruction
The description of correlation step, will not be described here.In several embodiments provided by the present invention, it should be understood that disclosed is
System, apparatus and method can be realized by another way.For example, device embodiment described above is only schematic
, for example, the division of the module, only a kind of division of logic function can have other dividing mode when actually realizing.
The module as separating component explanation can be or may not be it is physically separate, it is aobvious as module
The part for showing can be or may not be physical location, you can with positioned at a place, or can also be distributed to multiple
On NE.Some or all of module therein can according to the actual needs be selected to realize the mesh of this embodiment scheme
's.
In addition, each functional module in each embodiment of the invention can be integrated in a processing unit, it is also possible to
It is that unit is individually physically present, it is also possible to which two or more units are integrated in a unit.Above-mentioned integrated list
Unit both can be realized in the form of hardware, it would however also be possible to employ hardware adds the form of software function module to realize.
It is obvious to a person skilled in the art that the invention is not restricted to the details of above-mentioned one exemplary embodiment, Er Qie
In the case of spirit or essential attributes without departing substantially from the present invention, the present invention can be in other specific forms realized.Therefore, no matter
From the point of view of which point, embodiment all should be regarded as exemplary, and be nonrestrictive, the scope of the present invention is by appended power
Profit is required rather than described above is limited, it is intended that all in the implication and scope of the equivalency of claim by falling
Change is included in the present invention.Any attached associated diagram labelling in claim should not be considered as into the right involved by limiting will
Ask.
Furthermore, it is to be understood that " an including " word is not excluded for other units or step, odd number is not excluded for plural number.In system claims
Multiple units or device of statement can also be realized by a unit or device by software or hardware.Second grade word is used
To represent title, and it is not offered as any specific order.
Finally it should be noted that above example is only to illustrate technical scheme and unrestricted, although reference
Preferred embodiment has been described in detail to the present invention, it will be understood by those within the art that, can be to the present invention's
Technical scheme is modified or equivalent, without deviating from the spirit and scope of technical solution of the present invention.
Claims (10)
1. a kind of picture blur processing method, in being applied to electronic equipment, it is characterised in that methods described includes：
Obtain Target Photo；
The fuzzy object of the Target Photo is determined according to default fuzzy object, and determines the corresponding confusion region of the fuzzy object
Domain；And
Fuzzy Processing is carried out to the fuzzy region.
2. picture blur processing method as claimed in claim 1, it is characterised in that methods described also includes：
The fuzzy object of the self-defined setting of receive user；
The fuzzy object of self-defined setting is set to into default fuzzy object.
3. picture blur processing method as claimed in claim 1, it is characterised in that methods described also includes：
The corresponding fuzzy region of the fuzzy object is indicated using display box.
4. picture blur processing method as claimed in claim 1, it is characterised in that described that the fuzzy region is obscured
Process includes：
Obtain fine setting instruction；
The fuzzy region after being instructed to obscuring according to the fine setting is finely adjusted.
5. picture blur processing method as claimed in claim 1, it is characterised in that described that the fuzzy region is obscured
Process includes：
Obtain cancel an order；And
According to the Fuzzy Processing that cancel an order revocation is carried out to the fuzzy region.
6. a kind of picture blur processing system, it is characterised in that the system includes：
Acquisition module, for obtaining Target Photo；
Determining module is described fuzzy right for the fuzzy object that the default fuzzy object of basis determines the Target Photo, and determination
As corresponding fuzzy region；And
Fuzzy Processing module, for carrying out Fuzzy Processing to the fuzzy region.
7. picture blur processing system as claimed in claim 6, it is characterised in that the system also includes：
Setup module, for the fuzzy object of the self-defined setting of receive user；
The setup module is additionally operable to for the fuzzy object of self-defined setting to be set to default fuzzy object.
8. picture blur processing system as claimed in claim 6, it is characterised in that the system also includes：
Sign module, for indicating the corresponding fuzzy region of the fuzzy object using display box.
9. picture blur processing system as claimed in claim 6, it is characterised in that the Fuzzy Processing module is used for described
Fuzzy region carries out Fuzzy Processing to be included：
Obtain fine setting instruction；
The fuzzy region after being instructed to obscuring according to the fine setting is finely adjusted.
10. picture blur processing system as claimed in claim 6, it is characterised in that the Fuzzy Processing module is used for institute
Stating fuzzy region and carrying out Fuzzy Processing includes：
Obtain cancel an order；And
According to the Fuzzy Processing that cancel an order revocation is carried out to the fuzzy region.
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| CN201611130007.0A CN106600525A (en) | 2016-12-09 | 2016-12-09 | Picture fuzzy processing method and system |
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| CN107330848A (en) * | 2017-05-18 | 2017-11-07 | 捷开通讯(深圳)有限公司 | Image processing method, mobile terminal and storage device |
| CN107493433A (en) * | 2017-09-08 | 2017-12-19 | 盯盯拍（深圳）技术股份有限公司 | Image pickup method and filming apparatus |
| CN108038827A (en) * | 2017-11-30 | 2018-05-15 | 努比亚技术有限公司 | Image processing method, mobile terminal and computer-readable recording medium |
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| CN110267009A (en) * | 2019-06-28 | 2019-09-20 | Oppo广东移动通信有限公司 | Image processing method, image processing apparatus, server, and storage medium |
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| CN112700512A (en) * | 2020-12-28 | 2021-04-23 | 北京小米移动软件有限公司 | Application display method and device, electronic equipment and storage medium |
| CN112988906A (en) * | 2021-04-27 | 2021-06-18 | 江苏荣泽信息科技股份有限公司 | Traffic data safety sharing management system based on block chain |
| WO2021129146A1 (en) * | 2019-12-27 | 2021-07-01 | 支付宝(杭州)信息技术有限公司 | Processing method and device for protecting privacy information in picture |
| CN115187851A (en) * | 2022-07-13 | 2022-10-14 | 北京有竹居网络技术有限公司 | Method, apparatus, device and medium for processing sensitive information in visual data |
| CN115187851B (en) * | 2022-07-13 | 2025-12-19 | 北京有竹居网络技术有限公司 | Method, apparatus, device and medium for processing sensitive information in visual data |
Citations (7)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN1656502A (en) * | 2001-12-06 | 2005-08-17 | 皇家飞利浦电子股份有限公司 | Method and apparatus for automatic face blurring |
| CN1767638A (en) * | 2005-11-30 | 2006-05-03 | 北京中星微电子有限公司 | Visible image monitoring method for protecting privacy right and its system |
| CN101764925A (en) * | 2008-12-25 | 2010-06-30 | 华晶科技股份有限公司 | Shallow depth of field simulation method for digital image |
| US20100245602A1 (en) * | 2009-03-27 | 2010-09-30 | Canon Kabushiki Kaisha | Method of removing an artefact from an image |
| US20110268317A1 (en) * | 2000-11-06 | 2011-11-03 | Evryx Technologies, Inc. | Data Capture and Identification System and Process |
| CN103914634A (en) * | 2014-03-26 | 2014-07-09 | 小米科技有限责任公司 | Image encryption method, image encryption device and electronic device |
| CN105549850A (en) * | 2016-01-29 | 2016-05-04 | 广东欧珀移动通信有限公司 | Image blurring method and device |
-
2016
- 2016-12-09 CN CN201611130007.0A patent/CN106600525A/en active Pending
Patent Citations (7)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US20110268317A1 (en) * | 2000-11-06 | 2011-11-03 | Evryx Technologies, Inc. | Data Capture and Identification System and Process |
| CN1656502A (en) * | 2001-12-06 | 2005-08-17 | 皇家飞利浦电子股份有限公司 | Method and apparatus for automatic face blurring |
| CN1767638A (en) * | 2005-11-30 | 2006-05-03 | 北京中星微电子有限公司 | Visible image monitoring method for protecting privacy right and its system |
| CN101764925A (en) * | 2008-12-25 | 2010-06-30 | 华晶科技股份有限公司 | Shallow depth of field simulation method for digital image |
| US20100245602A1 (en) * | 2009-03-27 | 2010-09-30 | Canon Kabushiki Kaisha | Method of removing an artefact from an image |
| CN103914634A (en) * | 2014-03-26 | 2014-07-09 | 小米科技有限责任公司 | Image encryption method, image encryption device and electronic device |
| CN105549850A (en) * | 2016-01-29 | 2016-05-04 | 广东欧珀移动通信有限公司 | Image blurring method and device |
Cited By (13)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN107330848A (en) * | 2017-05-18 | 2017-11-07 | 捷开通讯(深圳)有限公司 | Image processing method, mobile terminal and storage device |
| CN107493433A (en) * | 2017-09-08 | 2017-12-19 | 盯盯拍（深圳）技术股份有限公司 | Image pickup method and filming apparatus |
| CN108038827A (en) * | 2017-11-30 | 2018-05-15 | 努比亚技术有限公司 | Image processing method, mobile terminal and computer-readable recording medium |
| CN109271089A (en) * | 2018-09-14 | 2019-01-25 | 天津字节跳动科技有限公司 | Picture code printing method and device |
| CN110267009B (en) * | 2019-06-28 | 2021-03-12 | Oppo广东移动通信有限公司 | Image processing method, image processing apparatus, server, and storage medium |
| CN110267009A (en) * | 2019-06-28 | 2019-09-20 | Oppo广东移动通信有限公司 | Image processing method, image processing apparatus, server, and storage medium |
| WO2021129146A1 (en) * | 2019-12-27 | 2021-07-01 | 支付宝(杭州)信息技术有限公司 | Processing method and device for protecting privacy information in picture |
| CN112057874A (en) * | 2020-09-10 | 2020-12-11 | 重庆五诶科技有限公司 | Game auxiliary system and method with privacy protection function |
| CN112700512A (en) * | 2020-12-28 | 2021-04-23 | 北京小米移动软件有限公司 | Application display method and device, electronic equipment and storage medium |
| CN112988906A (en) * | 2021-04-27 | 2021-06-18 | 江苏荣泽信息科技股份有限公司 | Traffic data safety sharing management system based on block chain |
| CN112988906B (en) * | 2021-04-27 | 2021-07-30 | 江苏荣泽信息科技股份有限公司 | Traffic data safety sharing management system based on block chain |
| CN115187851A (en) * | 2022-07-13 | 2022-10-14 | 北京有竹居网络技术有限公司 | Method, apparatus, device and medium for processing sensitive information in visual data |
| CN115187851B (en) * | 2022-07-13 | 2025-12-19 | 北京有竹居网络技术有限公司 | Method, apparatus, device and medium for processing sensitive information in visual data |
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