CN106815803A - The processing method and processing device of picture - Google Patents
The processing method and processing device of picture Download PDFInfo
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- CN106815803A CN106815803A CN201611263426.1A CN201611263426A CN106815803A CN 106815803 A CN106815803 A CN 106815803A CN 201611263426 A CN201611263426 A CN 201611263426A CN 106815803 A CN106815803 A CN 106815803A
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T3/00—Geometric image transformations in the plane of the image
- G06T3/04—Context-preserving transformations, e.g. by using an importance map
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Abstract
The embodiment of the invention discloses a kind of processing method and processing device of picture, methods described includes：Obtain at least one evaluation information of reference picture；Filtered out from least one reference picture according to the evaluation information and evaluate the optimal reference picture as Target Photo；The corresponding image parameters of the Target Photo are obtained as Target Photo adjusting parameter；Image procossing is carried out to pending picture according to the Target Photo adjusting parameter.Using the present invention, picture effect and Consumer's Experience can be improved.
Description
Technical field
The present invention relates to field of computer technology, a kind of processing method and processing device of picture has been related generally to.
Background technology
With developing rapidly for digital technology, people record the dribs and drabs of life by way of taking pictures.Nowadays,
The terminal device that can be used to take pictures and process picture is more and more, such as mobile phone, digital camera, flat board.User is using this
When a little terminal devices carry out picture processing, it usually needs repair figure software using with rhetorical function.With repairing the general of figure software
And rate more and more higher, to the modification of image processing function requirement also more and more higher, how to realize most true, most natural picture effect
Fruit always is the problem that all big enterprises seek to solve.
Nowadays all it is using static parameter when all of terminal device carries out picture processing, that is to say, that in terminal device
List or install after repairing figure software, its own picture processing algorithm for carrying just has been set or with system version
Or software version renewal and update, subsequent user can only select the reference scheme that designs in advance to carry out repairing figure (such as U.S. face
Several limited options such as degree, color, filter and suspension member).For the definition of U.S. figure be not due to everyone it is stereotyped,
The image processing method single effect of this use static parameter, does not possess and repaiies figure, the function of real-time adjustment parameter in real time, causes
The technical problem of owner's picture processing demand cannot be met.
The content of the invention
It is special to solve to carry out the single technical problem of picture effect that picture processing causes using static parameter based on this
Propose a kind of processing method of picture.
A kind of processing method of picture, including：
Obtain at least one evaluation information of reference picture；
Filtered out from least one reference picture according to the evaluation information and evaluate the optimal reference picture
As Target Photo；
The corresponding image parameters of the Target Photo are obtained as Target Photo adjusting parameter；
Image procossing is carried out to pending picture according to the Target Photo adjusting parameter.
Wherein in one embodiment, the Target Photo adjusting parameter includes picture hue adjustment parameter, picture black and white
One or more parameter in adjusting parameter and picture light efficiency adjusting parameter.
Wherein in one embodiment, the evaluation information is evaluation of estimate；It is described to obtain commenting at least one reference picture
Valency information also includes：When the evaluation information of the reference picture is more than one evaluation of estimate, the more than one evaluation is obtained
The average value of value as the reference picture evaluation information.
Wherein in one embodiment, also include before at least one evaluation information of reference picture of the acquisition：Obtain
The picture/mb-type of the pending picture；The picture that acquisition is matched with the picture/mb-type of the pending picture is used as the reference
Picture, and perform it is described acquisition reference picture evaluation information the step of.
Wherein in one embodiment, also include before at least one evaluation information of reference picture of the acquisition：Obtain
The corresponding identity characteristic information of the pending picture；The picture that acquisition is matched with the identity characteristic information is used as the reference
Picture, and perform it is described acquisition reference picture evaluation information the step of.
Wherein in one embodiment, the evaluation information for obtaining an at least reference picture also includes：Detection is directed to
The reference evaluation information of the reference picture input, obtains the reference evaluation information of the input as corresponding with the reference picture
Evaluation information, and/or, obtain social networks chain on good friend for the reference picture input buddy ratings information conduct
Evaluation information corresponding with the reference picture.
Additionally, to solve to carry out the single technical problem of picture that picture processing causes using static parameter, spy proposes
A kind of processing unit of picture.
A kind of processing unit of picture, including：
Evaluation information acquisition module, for obtaining at least one evaluation information of reference picture；
Target Photo determining module, comments for being filtered out from least one reference picture according to the evaluation information
The optimal reference picture of valency is used as Target Photo；
Adjusting parameter acquisition module, joins for obtaining the corresponding image parameters of the Target Photo and being adjusted as Target Photo
Number；
Picture processing module, for carrying out image procossing to pending picture according to the Target Photo adjusting parameter.
Wherein in one embodiment, the Target Photo adjusting parameter includes picture hue adjustment parameter, picture black and white
One or more parameter in adjusting parameter and picture light efficiency adjusting parameter.
Wherein in one embodiment, the evaluation information is evaluation of estimate；The evaluation information acquisition module is additionally operable to work as
When the evaluation information of the reference picture includes more than one evaluation of estimate, the average value conduct of the more than one evaluation of estimate is obtained
The evaluation value information of the reference picture.
Wherein in one embodiment, described device also includes the first reference picture acquisition module, for obtaining described treating
Process the picture/mb-type of picture；The picture matched with the picture/mb-type of the pending picture is obtained as the reference picture,
Call the evaluation information acquisition module.
Wherein in one embodiment, described device also includes the second reference picture acquisition module, for obtaining described treating
The corresponding identity characteristic information for the treatment of picture；The picture that acquisition is matched with the identity characteristic information of the target identities is used as described
Reference picture, calls the evaluation information acquisition module.
Wherein in one embodiment, the evaluation information acquisition module is additionally operable to detection for reference picture input
Reference evaluation information, obtain the reference evaluation information of the input as evaluation information corresponding with the reference picture, and/
Or, obtain social networks chain on good friend for the reference picture input buddy ratings information as with the reference picture pair
The evaluation information answered.
Implement the embodiment of the present invention, will have the advantages that：
Employ after the processing method and processing device of above-mentioned picture, filtered out in the evaluation information of the reference picture for obtaining
Optimal reference picture is evaluated as Target Photo, the Target Photo adjusting parameter of Target Photo is obtained, is adjusted according to Target Photo
Whole parameter carries out image procossing to pending picture.Because evaluation information is determined according to artificial subjective factor, then target figure
Piece adjusting parameter have modified original static parameter, realize the setting of dynamic parameter, so as to improve picture effect and Consumer's Experience.
Brief description of the drawings
In order to illustrate more clearly about the embodiment of the present invention or technical scheme of the prior art, below will be to embodiment or existing
The accompanying drawing to be used needed for having technology description is briefly described, it should be apparent that, drawings in the following description are only this
Some embodiments of invention, for those of ordinary skill in the art, on the premise of not paying creative work, can be with
Other accompanying drawings are obtained according to these accompanying drawings.
Wherein：
Fig. 1 is a kind of flow chart of the processing method of picture provided in an embodiment of the present invention；
Fig. 2 is a kind of schematic diagram of evaluation information for obtaining reference picture provided in an embodiment of the present invention；
Fig. 3 is the schematic diagram of another evaluation information for obtaining reference picture provided in an embodiment of the present invention；
Fig. 4 is a kind of schematic diagram of a scenario of selection target picture provided in an embodiment of the present invention；
Fig. 5 is a kind of structure chart of the processing unit of picture provided in an embodiment of the present invention；
Fig. 6 is the structural representation of the computer equipment of the processing method of operation picture in one embodiment.
Specific embodiment
Below in conjunction with the accompanying drawing in the embodiment of the present invention, the technical scheme in the embodiment of the present invention is carried out clear, complete
Site preparation is described, it is clear that described embodiment is only a part of embodiment of the invention, rather than whole embodiments.It is based on
Embodiment in the present invention, it is every other that those of ordinary skill in the art are obtained under the premise of creative work is not made
Embodiment, belongs to the scope of protection of the invention.
To solve to carry out the single technical problem of picture effect that picture processing causes using static parameter, in an implementation
In example, spy proposes a kind of processing method of picture.The realization of the method can be dependent on computer program, and the computer program can
Run on the computer system based on von Neumann system, the computer program can be photography and record on terminal device
The application of picture processing is based on as software, it is also possible to be directed to the function choosing of photography and the picture processing application of video recording software development
Item or application plug-in.The terminal device include but is not limited to personal computer, server computer, hand-held or it is on knee, disappear
Take type electronic equipment, mobile device (such as smart mobile phone, panel computer, media player etc.) and multicomputer system etc.
Deng.Preferably terminal device is Intelligent mobile equipment, can be arranged on the operation such as operation IOS, Android, Windows Phone system
In the terminal device of system.
Specifically, as shown in figure 1, the processing method of above-mentioned picture comprises the following steps S102-S108：
Step S102：Obtain at least one evaluation information of reference picture.
The figure that the picture, or user that reference picture is preserved after being taken pictures for user are preserved after being downloaded from webpage
Piece, can also be the sectional drawing of a certain page, or the picture after figure is repaiied by U.S. nomography.Reference picture should have generation
The picture of table user preference, further, using user's mark be the picture liked as reference picture, so as to actively filter out use
The preferable picture of picture effect is thought at family, is that subsequently screening Target Photo reduces workload, improves search efficiency.
The evaluation information of reference picture can be for the overall evaluation of reference picture, color aesthetics, focus evaluation and/or U.S.
The comment in one or more evaluating, or comment area in face effect assessment.When evaluation information is evaluation of estimate,
Obtaining the computing formula of the evaluation of estimate of reference picture can be：
EV=b1×ev1+b2×ev2+b3×ev3+…+bn×evn： (1)
In formula (1), EV is the evaluation of estimate of reference picture, ev1、ev2、ev3And evnIt is different evaluations of estimate, b1、b2、b3And bn
Respectively ev1、ev2、ev3And evnCorresponding weight.Wherein, b1+b2+b3+…+bn=1, bi(i=1,2,3 ..., n) specific
Value can be set according to the affecting parameters of evaluation of estimate or be set using recommendation.
For example, with reference to an application scenarios for acquisition evaluation information.The evaluation page of reference picture as shown in Figure 2
Including comment component, the overall evaluation, color aesthetics, the focus evaluation marking component corresponding with U.S. face effect assessment made comments
With evaluation display module.Wherein, the comment in the comment component made comments is for " overall satisfied, color is relatively satisfactory, focus one
As, U.S. face effect is relatively satisfactory ", the overall evaluation be that five stars, color aesthetics are that four stars, focus are evaluated as three stars, and U.S. face
Effect assessment is four stars.
For example, as illustrated in fig. 2, it is assumed that b1=0.4, b2=0.2, b3=0.2, b4=0.2, wherein b1It is the overall evaluation
Weight, b2Weight, b for color aesthetics3The weight and b evaluated for focus4It is the weight of U.S. face effect assessment, and ev1=
100, ev2=80, ev3=60, evn=80, then the evaluation of estimate for being calculated reference picture by formula (1) is 84.
Evaluation information can be exported according to default picture evaluation algorithms, obtain an evaluation information for science.Due to everyone
Aesthetic standards it is different, so evaluation information can also upload social networks for user to the evaluation of picture, or user
Afterwards, terminal reads the evaluation information on comment component.Be can be considered based on reponse system by artificially evaluating the evaluation information for obtaining
The method for realizing picture processing, due to obtaining the evaluation information that the good friend on user and/or social networks chain provides, can obtain not
Same people is for the same evaluation information of reference picture.Specifically：At least one evaluation information of reference picture of the acquisition
Also include：Detection obtains the reference evaluation information conduct of the input for the reference evaluation information of reference picture input
Evaluation information corresponding with the reference picture, and/or, the good friend on social networks chain is obtained for reference picture input
Buddy ratings information is used as evaluation information corresponding with the reference picture.
For example, after the completion of user shoots, evaluating the photo that it shoots, deletion is thought to shoot the picture of failure, protects
The picture deposited obtains the corresponding evaluation information of reference picture as reference picture.Or reference picture is uploaded social network by user
Network, the good friend on social networks chain may be input into corresponding evaluation information after the reference picture for seeing upload.
After uploading social networks, because different good friends is different for the sense organ of picture effect, thus difference is obtained
Evaluation information；Or user is affectedly bashful not timing and provides multiple with reference to evaluation etc. for the evaluation of picture.When described with reference to figure
During the quantity more than one of the evaluation information of piece, the evaluation information for obtaining and representing the reference picture is calculated.
Optionally, the evaluation information is evaluation of estimate；The evaluation information for obtaining an at least reference picture also includes：
When the evaluation information of the reference picture is more than one evaluation of estimate, the average value conduct of the more than one evaluation of estimate is obtained
The evaluation information of the reference picture.That is, when the situation of multiple evaluations of estimate occurs in a width reference picture, can Calculation Estimation
The average value of value, or mean value calculation is weighted to evaluation of estimate according to the importance of evaluating, it is closest so as to obtain
The evaluation of estimate of picture effect.Computing formula is：
EVavg=(x1+x2+x3+…+xn)÷n (2)
In formula (2), EVavgIt is the average value of evaluation of estimate, x1、x2、x3And xnThe different evaluation of estimate for respectively obtaining.Example
Such as, three online friends are had in another application scenarios for obtaining evaluation information shown in Fig. 3 to evaluate the picture for uploading, is commented
Value is respectively 92,88 and 93, and the average value for being calculated evaluation of estimate according to formula (2) is 91, then the evaluation information of reference picture
It is 91.
Again for example, when evaluation information is evaluation of estimate, the evaluation of evaluation information, meter are determined according to the thumb up quantity for evaluating area
Calculating formula is：
EV=c ÷ n × 100% (3)
In formula (3), EV is evaluation of estimate, and c is the quantity for obtaining thumb up, and n is the sum of the good friend of social networks chain.For example scheme
Comment interface shown in 3 has 23 good friends and carries out thumb up to the picture for uploading, it is assumed that have 30 good friends, then counted according to formula (3)
The evaluation information that calculation obtains reference picture is 76.7.
It should be noted that in order to ensure the correctness of evaluation information, the total quantity and comment that can expand reference picture are believed
The diversity of breath is obtaining more complete data analysis, or thumb up analysis is made to comment people, for example will seldom reach the standard grade or
The people that hardly good friend of thumb up excludes, thumb up rate is high is using relatively low weight etc..
Step S104：According to the evaluation information filtered out from least one reference picture evaluation it is optimal described in
Reference picture is used as Target Photo.
The method that obtaining has the width reference picture for evaluating optimal can select evaluation in the evaluation information of reference picture
The width reference picture of highest one, also can overall merit a few width reference pictures higher, acquisition overall evaluation highest reference picture
It is Target Photo, image parameters higher in other reference pictures is set to the Target Photo adjusting parameter of Target Photo, protects
The Target Photo is deposited, for pending figure provides multiple choices scheme.
For example, the overall evaluation of the first reference picture is 89, the overall evaluation of the second reference picture is 92, and the 3rd with reference to figure
The overall evaluation of piece is 88, and contrast learns that the overall evaluation of the second reference picture is high, then Target Photo is the second reference picture.
Again for example, it is that 96, focus is evaluated as 88 and U.S. face effect that the overall evaluation of the first reference picture is 89, color aesthetics
Be evaluated as 86, the overall evaluation of the second reference picture is 92, color aesthetics be 94, focus be evaluated as 88 and U.S. face effect assessment be
90, the overall evaluation of the 3rd reference picture is 88, color aesthetics be 80, focus be evaluated as 96 and U.S. face effect assessment be 90, it is right
The overall evaluation than learning the second reference picture is high, and the color aesthetics of the first reference picture are high, and the focus of the 3rd reference picture is commented
Valency is high, then can obtain the color parameter of the first reference picture and the focus parameter of the 3rd reference picture, the color ginseng that will be got
Number and focus parameter are set in the second reference picture.
Give one example again, the comment of the first reference picture is for " overall satisfied, color is relatively satisfactory, and focus is general, U.S. face effect
It is really relatively satisfactory ", the comment of the second reference picture is for " overall relatively satisfactory, color is relatively satisfactory, and focus is relatively satisfactory, and U.S. face effect is fuller
Meaning ", the comment of the 3rd reference picture is " overall general, color satisfaction, focus is general, and U.S. face effect is relatively satisfactory ", is considered
It is Target Photo to select the second reference picture.
Step S106：The corresponding image parameters of the Target Photo are obtained as Target Photo adjusting parameter.
Target Photo adjusting parameter includes the adjustment of picture hue adjustment parameter, picture black and white adjusting parameter and picture light efficiency
Parameter etc. parameter, in detail for exposure, bloom, shade, brightness, contrast, stain, saturation degree, colour cast, intensity, particle are big
Small, thin face parameter, eyes size adjusting parameter, mill skin go acne parameter, skin-whitening parameter, tooth whitening parameter and rouge parameter
Etc..
Step S108：Image procossing is carried out to pending picture according to the Target Photo adjusting parameter.
The figure that the picture, or user that pending picture is preserved after being taken pictures for user are preserved after being downloaded from webpage
Piece, can also be the sectional drawing of a certain page, or the picture after figure is repaiied by U.S. nomography, it might even be possible to be user's opening
The picture that camera will shoot.
It should be noted that completed pending picture should have to need to carry out picture processing for user elects
Picture.That is, when user selects one or more pending picture, backstage can just perform step S102.Avoid one
The straight evaluation information for obtaining reference picture, the system brought transports the problems such as depositing deficiency.And not completing the pending picture for shooting is
After user's unlatching camera, execution step S102 shows preview effect, completes shooting, and shoot next picture not need
Subsequent pictures treatment, improves picture effect and Consumer's Experience.
Image procossing can set port and set preference parameter by parameter preset corresponding with Target Photo adjusting parameter, repair
Change original static parameter, adjusting parameter has been continuously updated by existing U.S. figure effect, realize the setting of dynamic parameter, so that
Improve Consumer's Experience.Wherein, parameter preset set port include colorimetric parameter set port, black and white parameter setting port and/or
One or more port in light efficiency parameter setting port.
Optionally, because everyone is different for the impression of U.S. figure, can be identified with identity characteristic for photograph subject
Target Photo adjusting parameter.Specifically：Also include before at least one evaluation information of reference picture of the acquisition：Obtain institute
State the corresponding identity characteristic information of pending picture；The picture that acquisition is matched with the identity characteristic information is as described with reference to figure
Piece, and perform it is described acquisition reference picture evaluation information the step of.
The identity characteristic information of the pending picture for having completed to shoot is obtained according to image recognition technology, or according to shooting
The identity characteristic information of object obtains reference picture.When multiple identity characteristic informations are identified on a pending picture,
It is available for user to select specific identity characteristic information, also a predeterminable identity characteristic information, so as to improve reference picture
It is representative.
For unfinished shooting pending picture identity characteristic information can by fingerprint recognition, recognition of face and/or
The mode of iris recognition, preferably recognition of face.That is, after opening camera, face characteristic is gathered, according to described
The face characteristic of collection determines the scope of reference picture, then to obtain and evaluate an optimal width picture as target figure in reference picture
Piece, the picture adjusting parameter according to Target Photo processes pending picture.Due to reducing the scope of reference picture, reduce and search
Difficulty, and the Target Photo searched more fits the aesthetic concepts of the object with identity characteristic information, further increases user
Experience.
Optionally, because the picture/mb-type of picture is different, then a width mesh pointedly can be selected according to every kind of picture/mb-type
Mark on a map piece, so as to obtain the Target Photo adjusting parameter for picture/mb-type.Specifically：At least one reference picture of the acquisition
Evaluation information before also include：Obtain the picture/mb-type of the pending picture；Obtain the picture with the pending picture
The picture of type matching as the reference picture, and perform it is described acquisition reference picture evaluation information the step of.
That is, obtaining the picture/mb-type of pending picture, the model of reference picture is determined according to the picture/mb-type chosen
Enclose, then to obtain and evaluate an optimal width picture as Target Photo, the picture adjusting parameter according to Target Photo in reference picture
Process pending picture.The scope for equally reducing reference picture is searched with identity characteristic information, is reduced and is searched difficulty.Due to pin
The Target Photo found to property picture/mb-type has one-to-one corresponding property, further increases Consumer's Experience and picture effect.
Wherein in one embodiment, picture designated order is received, obtain the corresponding target figure of the picture designated order
Piece is used as the Target Photo.That is, during in the presence of several Target Photos, user checks that picture is imitated when shooting by preview
Fruit determines a width Target Photo, it is determined that the target adjustment parameter of Target Photo be to shoot the image parameters set by picture.
For example, with reference to an application scenarios for selection target picture.As shown in figure 4,3 width Target Photos are stored,
User can respectively select first object picture, the second Target Photo and the 3rd Target Photo to check preview effect, be imitated according to preview
Fruit finds that first object picture is more suitable for current application scene, then it is Target Photo to select first object picture.
To solve to carry out the single technical problem of picture effect that picture processing causes using static parameter, in an implementation
In example, spy proposes a kind of setting device of image parameters.As shown in figure 5, the setting device of above-mentioned image parameters includes evaluating
Data obtaining module 102, Target Photo determining module 104, adjusting parameter acquisition module 106 and picture processing module 108, its
In：
Evaluation information acquisition module 102, for obtaining at least one evaluation information of reference picture；
Target Photo determining module 104, for being screened from least one reference picture according to the evaluation information
Go out to evaluate the optimal reference picture as Target Photo；
Adjusting parameter acquisition module 106, adjusts for obtaining the corresponding image parameters of the Target Photo as Target Photo
Whole parameter；
Picture processing module 108, for carrying out image procossing to pending picture according to the Target Photo adjusting parameter.
Wherein in one embodiment, the Target Photo adjusting parameter includes picture hue adjustment parameter, picture black and white
One or more parameter in adjusting parameter and picture light efficiency adjusting parameter.
Wherein in one embodiment, the evaluation information is evaluation of estimate；The evaluation information acquisition module 102 is additionally operable to
When the evaluation information of the reference picture includes more than one evaluation of estimate, the average value for obtaining the more than one evaluation of estimate is made
It is the evaluation value information of the reference picture.
Wherein in one embodiment, described device also includes the first reference picture acquisition module 1022, for obtaining
State the picture/mb-type of pending picture；The picture that acquisition is matched with the picture/mb-type of the pending picture is as described with reference to figure
Piece, calls the evaluation information acquisition module 102.
Wherein in one embodiment, described device also includes the second reference picture acquisition module 1024, for obtaining
State the corresponding identity characteristic information of pending picture；The picture conduct that acquisition is matched with the identity characteristic information of the target identities
The reference picture, calls the evaluation information acquisition module 102.
Wherein in one embodiment, the evaluation information acquisition module 102 is additionally operable to detection for the reference picture
The reference evaluation information of input, obtains the reference evaluation information of the input as evaluation information corresponding with the reference picture,
And/or, obtain social networks chain on good friend for the reference picture input buddy ratings information as with this with reference to figure
The corresponding evaluation information of piece.
Implement the embodiment of the present invention, will have the advantages that：
Employ after the processing method and processing device of above-mentioned picture, filtered out in the evaluation information of the reference picture for obtaining
Optimal reference picture is evaluated as Target Photo, the Target Photo adjusting parameter of Target Photo is obtained, is adjusted according to Target Photo
Whole parameter carries out image procossing to pending picture.Because evaluation information is determined according to artificial subjective factor, then target figure
Piece adjusting parameter have modified original static parameter, realize the setting of dynamic parameter, so as to improve picture effect and Consumer's Experience.
In one embodiment, as shown in fig. 6, Fig. 6 illustrate it is a kind of run picture processing method based on Feng Nuoyi
The terminal of the computer system of graceful system.The computer system can be smart mobile phone, panel computer, palm PC, notebook
The terminal device such as computer or PC.Specifically, may include outer input interface 1001, the treatment connected by system bus
Device 1002, memory 1003 and output interface 1004.Wherein, outer input interface 1001 optionally can at least include network interface
10012.Memory 1003 may include external memory 10032 (such as hard disk, CD or floppy disk etc.) and built-in storage 10034.It is defeated
Outgoing interface 1004 can at least include the equipment such as display screen 10042.
In the present embodiment, the operation of this method is based on computer program, and the program file of the computer program is stored in
In the external memory 10032 of the foregoing computer system based on von Neumann system, built-in storage is operationally loaded into
In 10034, then it is compiled as being transferred to be performed in processor 1002 after machine code, so that being based on von Neumann system
Computer system in form evaluation information acquisition module 102 in logic, Target Photo determining module 104, adjusting parameter and obtain
Modulus block 106, picture processing module 108, the first reference picture acquisition module 1022 and the second reference picture acquisition module
1024.And in the method to set up implementation procedure of above-mentioned image parameters, the parameter of input is connect by outer input interface 1001
Receive, and be transferred to be cached in memory 1003, be then input to be processed in processor 1002, the result data for the treatment of or slow
It is stored in memory 1003 and is subsequently processed, or be passed to output interface 1004 and is exported.
Specifically, said external input interface 1001 is used to obtain at least one evaluation information of reference picture；
Above-mentioned processor 1002 is used to filter out evaluation from least one reference picture according to the evaluation information
The optimal reference picture is used as Target Photo；The corresponding image parameters of the Target Photo are obtained to be adjusted as Target Photo
Parameter；Image procossing is carried out to pending picture according to the Target Photo adjusting parameter.
In an alternative embodiment, above-mentioned processor 1002 is additionally operable to include more than one when the evaluation information of the reference picture
During individual evaluation of estimate, the average value of the more than one evaluation of estimate is obtained as the evaluation value information of the reference picture.
In an alternative embodiment, said external input interface 1001 is additionally operable to obtain the picture category of the pending picture
Type；The picture that acquisition is matched with the picture/mb-type of the pending picture calls the evaluation information as the reference picture
Acquisition module.
In an alternative embodiment, said external input interface 1001 is additionally operable to obtain the corresponding identity of the pending picture
Characteristic information；The picture that acquisition is matched with the identity characteristic information of the target identities is called described as the reference picture
Evaluation information acquisition module.
In an alternative embodiment, said external input interface 1001 is additionally operable to ginseng of the detection for reference picture input
Evaluation information is examined, the reference evaluation information of the input is obtained as evaluation information corresponding with the reference picture, and/or, obtain
Take the good friend on social networks chain and be directed to the buddy ratings information of reference picture input as corresponding with the reference picture
Evaluation information.
Above disclosed is only present pre-ferred embodiments, can not limit the right model of the present invention with this certainly
Enclose, therefore the equivalent variations made according to the claims in the present invention, still belong to the scope that the present invention is covered.
Claims (12)
1. a kind of processing method of picture, it is characterised in that including：
Obtain at least one evaluation information of reference picture；
Filtered out from least one reference picture according to the evaluation information and evaluate the optimal reference picture conduct
Target Photo；
The corresponding image parameters of the Target Photo are obtained as Target Photo adjusting parameter；
Image procossing is carried out to pending picture according to the Target Photo adjusting parameter.
2. the processing method of picture according to claim 1, it is characterised in that the Target Photo adjusting parameter includes figure
One or more parameter in piece hue adjustment parameter, picture black and white adjusting parameter and picture light efficiency adjusting parameter.
3. the processing method of picture according to claim 1, it is characterised in that the evaluation information is evaluation of estimate；
The evaluation information for obtaining an at least reference picture also includes：
When the evaluation information of the reference picture is more than one evaluation of estimate, the average value of the more than one evaluation of estimate is obtained
As the evaluation information of the reference picture.
4. the processing method of picture according to claim 1, it is characterised in that at least one reference picture of the acquisition
Also include before evaluation information：
Obtain the picture/mb-type of the pending picture；
The picture that acquisition is matched with the picture/mb-type of the pending picture performs the acquisition ginseng as the reference picture
The step of examining the evaluation information of picture.
5. the processing method of picture according to claim 1, it is characterised in that at least one reference picture of the acquisition
Also include before evaluation information：
Obtain the corresponding identity characteristic information of the pending picture；
The picture that acquisition is matched with the identity characteristic information performs the acquisition reference picture as the reference picture
The step of evaluation information.
6. the processing method of picture according to claim 1, it is characterised in that at least one reference picture of the acquisition
Evaluation information also includes：
Detection for the reference evaluation information of reference picture input, obtain the reference evaluation information of the input as with this
The corresponding evaluation information of reference picture,
And/or,
Obtain social networks chain on good friend for the reference picture input buddy ratings information as with the reference picture
Corresponding evaluation information.
7. a kind of processing unit of picture, it is characterised in that including：
Evaluation information acquisition module, for obtaining at least one evaluation information of reference picture；
Target Photo determining module, for filtering out evaluation from least one reference picture most according to the evaluation information
The excellent reference picture is used as Target Photo；
Adjusting parameter acquisition module, for obtaining the corresponding image parameters of the Target Photo as Target Photo adjusting parameter；
Picture processing module, for carrying out image procossing to pending picture according to the Target Photo adjusting parameter.
8. the processing unit of picture according to claim 7, it is characterised in that the Target Photo adjusting parameter includes figure
One or more parameter in piece hue adjustment parameter, picture black and white adjusting parameter and picture light efficiency adjusting parameter.
9. the processing unit of picture according to claim 7, it is characterised in that the evaluation information is evaluation of estimate；
The evaluation information acquisition module is additionally operable to, when the evaluation information of the reference picture includes more than one evaluation of estimate, obtain
The average value of the more than one evaluation of estimate is taken as the evaluation value information of the reference picture.
10. the processing unit of picture according to claim 7, it is characterised in that described device also includes first with reference to figure
Piece acquisition module, the picture/mb-type for obtaining the pending picture；Obtain the picture/mb-type with the pending picture
The picture matched somebody with somebody calls the evaluation information acquisition module as the reference picture.
The processing unit of 11. pictures according to claim 7, it is characterised in that described device also includes second with reference to figure
Piece acquisition module, for obtaining the corresponding identity characteristic information of the pending picture；Obtain the identity with the target identities
The picture of characteristic information matching calls the evaluation information acquisition module as the reference picture.
The processing unit of 12. pictures according to claim 7, it is characterised in that the evaluation information acquisition module is also used
In detection for reference picture input reference evaluation information, obtain the reference evaluation information of the input as with the ginseng
The corresponding evaluation information of picture is examined, and/or, the good friend obtained on social networks chain comments for the good friend of reference picture input
Valency information is used as evaluation information corresponding with the reference picture.
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