CN109410128A - A kind of image processing method, device and electronic equipment - Google Patents
A kind of image processing method, device and electronic equipment Download PDFInfo
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- G—PHYSICS
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- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T5/00—Image enhancement or restoration
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- G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
- G06V40/00—Recognition of biometric, human-related or animal-related patterns in image or video data
- G06V40/10—Human or animal bodies, e.g. vehicle occupants or pedestrians; Body parts, e.g. hands
- G06V40/16—Human faces, e.g. facial parts, sketches or expressions
- G06V40/168—Feature extraction; Face representation
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
- G06V40/00—Recognition of biometric, human-related or animal-related patterns in image or video data
- G06V40/10—Human or animal bodies, e.g. vehicle occupants or pedestrians; Body parts, e.g. hands
- G06V40/16—Human faces, e.g. facial parts, sketches or expressions
- G06V40/172—Classification, e.g. identification
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Abstract
The present embodiments relate to technical field of image processing, in particular to a kind of image processing method, device and electronic equipment.Wherein, image processing method includes: the first image for obtaining the first user；Determine that at least one image procossing belonging to the first user is classified；Using image procossing classify in the first processing parameter handle the first image, and generate at least one second image；Wherein, the first processing parameter is determined according at least one of the image procossing classification second user different from the first user.Image processing method, device and the electronic equipment of the embodiment of the present invention can carry out automatic moditied processing to the first image of the first user according to the affiliated image procossing classification of the first user, improve the efficiency and convenience of image processing.
Description
Technical field
The present embodiments relate to technical field of image processing, in particular to a kind of image processing method, device and electronics
Equipment.
Background technique
Requirement with people to image beauty is increasingly promoted, and the image of electronic equipment shooting is carried out later period modification, is made
Image is more beautiful to have become a kind of fashion trend.
But due to everyone hobby difference, user generally requires to carry out each image according to the hobby of itself cumbersome
Modification operation, so that user is required to spend longer time when handling each image, also, to same type of shadow
As can not quickly be handled, the efficiency and convenience of image processing are reduced, to reduce the usage experience of user.
Summary of the invention
The embodiment of the invention provides a kind of image processing method, device and electronic equipments, can be according to the first user's
Affiliated image procossing classification carries out automatic moditied processing to the first image of the first user, improves the efficiency of image processing
And convenience.
In order to solve the above-mentioned technical problems, the present invention provides the following technical solutions:
The present invention provides a kind of image processing methods, comprising:
Obtain the first image of the first user；
Determine that at least one image procossing belonging to the first user is classified；
Using image procossing classify in the first processing parameter handle the first image, and generate at least one second image；
Wherein, the first processing parameter is determined according at least one of the image procossing classification second user different from the first user.
Further, it is determined that the classification of at least one image procossing belonging to the first user includes:
Obtain the user information of the first user；
According to user information determine the first user belonging to the classification of at least one image procossing, or, according to user information and
First image determines that at least one image procossing belonging to the first user is classified.
Further, the first processing parameter is according to second different from the first user of at least one of image procossing classification
User determine method include:
The history image of multiple second users in acquisition image procossing classification and corresponding second processing parameter；
By carrying out model training to history image and second processing parameter, the first processing parameter is obtained.
Further, after generating at least second image, further includes:
Select the image to be modified in the second image；
Receive the first operation of the first user；
According to the first operation processing image to be modified, and generate third image.
Further, after generating third image, further includes:
Obtain the first Optimal Parameters of third image；
First Optimal Parameters are pushed at least one second user in image procossing classification.
Further, the first Optimal Parameters include and associated Optimal Parameters of scene characteristic and associated with characteristics of human body
At least one of Optimal Parameters.
Further, further includes:
It determines in second user using the number of users of the first Optimal Parameters processing image；
The popularity of the first Optimal Parameters is determined according to number of users.
Further, further includes:
The first user is given according to the popularity of the first Optimal Parameters and is motivated.
The present invention also provides a kind of image processing apparatus, wherein includes:
Image acquisition unit is configured to obtain the first image of the first user；
User's taxon is configured to determine the classification of at least one image procossing belonging to the first user；
Image processing unit is configured to handle the first image using the first processing parameter in image procossing classification, and
Generate at least one second image；Wherein, the first processing parameter is according at least one of image procossing classification and the first user
Different second users determines.
Invention further provides a kind of electronic equipment, including at least one processor, at least one processor and storage
Computer program instructions in memory, when computer program instructions are executed by processor, processor can:
Obtain the first image of the first user；
Determine that at least one image procossing belonging to the first user is classified；
Using image procossing classify in the first processing parameter handle the first image, and generate at least one second image；
Wherein, the first processing parameter is determined according at least one of the image procossing classification second user different from the first user.
Based on disclosed above, the beneficial effect of the embodiment of the present invention is:
The first image in the electronic equipment of available first user of the embodiment of the present invention, which can be should
The image stored in electronic equipment or the image using electronic equipment intake, and can be determined according to the hobby of the first user
It is different from the first user at least one of to be classified according to image procossing at least one image procossing classification belonging to it
Second user determines the first processing parameter for handling the first image, handles the first video generation using the first processing parameter
At least one second image.Therefore, the embodiment of the present invention can directly pass through network according to the hobby of the first user and obtain its institute
The first processing parameter in the image procossing classification of category, and the first image is quickly handled, it can be according to the first user
Affiliated image procossing classification automatic moditied processing is carried out to the first image of the first user, without the first user again to the
One image carries out cumbersome manually modified operation, improves the efficiency and convenience of image processing, to improve the use body of user
It tests.
The first processing parameter in the embodiment of the present invention is according at least one of image procossing classification and the first user
What different second user determined, therefore, can rapidly be obtained automatically based on network one in image procossing classification or
Corresponding first processing parameter of multiple preferred processing schemes not only provides more for the first user for the first user selection
More selectivity, additionally it is possible to the efficiency and convenience of image processing are improved, to improve the usage experience of user.
Detailed description of the invention
Fig. 1 is the flow chart of the image processing method of one embodiment of the invention；
Fig. 2 is the flow chart of the specific method of the step S102 of the embodiment of the present invention；
Fig. 3 is the flow chart of the specific method of the step S103 of the embodiment of the present invention；
Fig. 4 is the flow chart of the image processing method of another embodiment of the present invention；
Fig. 5 is the flow chart of the image processing method of another embodiment of the invention；
Fig. 6 is the flow chart of the image processing method of further embodiment of the present invention；
Fig. 7 is the structural schematic diagram of the image processing apparatus of the embodiment of the present invention；
Fig. 8 is the structural schematic diagram of the electronic equipment of the embodiment of the present invention.
Specific embodiment
In the following, specific embodiments of the present invention are described in detail in conjunction with attached drawing, but not as the limitation of the invention.
It should be understood that various modifications can be made to disclosed embodiments.Therefore, description above should not regard
To limit, and only as the example of embodiment.Those skilled in the art will expect within the scope and spirit of this
Other modifications.
The attached drawing being included in the description and forms part of the description shows embodiment of the disclosure, and with it is upper
What face provided is used to explain the disclosure together to substantially description and the detailed description given below to embodiment of the disclosure
Principle.
It is of the invention by the description of the preferred form with reference to the accompanying drawings to the embodiment for being given as non-limiting example
These and other characteristic will become apparent.
Although being also understood that invention has been described referring to some specific examples, those skilled in the art
Member realizes many other equivalents of the invention in which can determine, they have feature as claimed in claim and therefore all
In the protection scope defined by whereby.
When read in conjunction with the accompanying drawings, in view of following detailed description, above and other aspect, the feature and advantage of the disclosure will become
It is more readily apparent.
The specific embodiment of the disclosure is described hereinafter with reference to attached drawing；It will be appreciated, however, that the disclosed embodiments are only
Various ways implementation can be used in the example of the disclosure.Known and/or duplicate function and structure and be not described in detail to avoid
Unnecessary or extra details makes the disclosure smudgy.Therefore, specific structural and functionality disclosed herein is thin
Section is not intended to restrictions, but as just the basis of claim and representative basis be used to instructing those skilled in the art with
Substantially any appropriate detailed construction diversely uses the disclosure.
This specification can be used phrase " in one embodiment ", " in another embodiment ", " in another embodiment
In " or " in other embodiments ", it can be referred to one or more of the identical or different embodiment according to the disclosure.
In the following, the embodiment of the present invention is described in detail in conjunction with attached drawing.
As shown in Figure 1, the embodiment of the invention provides a kind of image processing methods, this method comprises:
S101, the first image for obtaining the first user；
S102, determine that at least one image procossing belonging to the first user is classified；
S103, using image procossing classify in the first processing parameter handle the first image, and generate at least one second
Image；Wherein, the first processing parameter is true according at least one of the image procossing classification second user different from the first user
It is fixed.
In embodiments of the present invention, the first image can be image or video, wherein the first image of the first user can
With there are two types of situations:
The first
The image that the first image of first user can be possessed by the first user may include the first use in the image
Family can also include the other users in addition to the first user.In one embodiment, it can will be set in the electronics of the first user
Standby the first image for obtaining its stored image as the first user.In another embodiment, first will can also be utilized
First image of the image of the electronic equipment intake of user as the first user.
Second
The first image of first user can also for not by the first user possessed but include the first user image.
In one embodiment, it includes that it is stored that the electronic equipment of the other users other than the first user can be obtained to its
First image of the image of one user as the first user.In another embodiment, it can also will utilize other than the first user
Other users electronic equipment intake include the first user first image of the image as the first user.
As shown in Fig. 2, in embodiments of the present invention, when the first image of the first user belongs to the first situation, determining
At least one image procossing belonging to first user is classified
S201, the user information for obtaining the first user；
S202, determine that at least one image procossing belonging to the first user is classified according to user information, or, believing according to user
Breath and the first image determine that at least one image procossing belonging to the first user is classified.
In an embodiment of the invention, the user information of the first user may include and be not limited to the social activity of the first user
Information and behavioural information.
When user information is social information, social information can be specially the first user in different social platforms and social activity
Chat data in software.It can analyze out the chat style of the first user according to chat data, and be directed to the chat style
Classify with image procossing corresponding with its style.For example, chat style may include light, humorous, deep etc. a variety of different
Style, at this point, the image procossing that treatment effect can be selected corresponding is classified at as image belonging to first user
Reason classification, with according to the social interaction style of the first user be the corresponding image procossing scheme of its Auto-matching.
When user information is behavioural information, behavioural information can be specially the first user in different images processing software
Image Processing parameter.It can analyze the image procossing style of the first user according to Image Processing parameter, and at the image
It manages style and matches image procossing classification corresponding with its style.For example, when the image procossing style for determining the first user is small clear
After new style or goddess's style, it can choose the corresponding image procossing for the treatment of effect and classify as belonging to first user
Image procossing classification, with according to the image procossing style of the first user be the corresponding image procossing scheme of its Auto-matching.
When user information is behavioural information, behavioural information can also be specially the picture browsing data of the first user.Root
It can analyze the image style of the first user preference according to picture browsing data, and match corresponding figure for the image style
As processing classification.
It should be noted that when the user information using the first user determines that image procossing belonging to the first user is classified
When, it can be one or more kinds of styles that the first user is determined using social information, behavioural information or its form combined,
It and is that the one or more image procossings classification of the first user matching are for selection.
In another embodiment, it is determined at least one belonging to the first user according to user information and the first image
When a image procossing is classified, the face characteristic in the first image can be first obtained, and according to the use of face characteristic and the first user
The combination of family information determines that image procossing is classified.Wherein, face characteristic may include the feature of face, the feature of shape of face or hair style
Feature etc..After user information and face characteristic are combined, it can choose in the corresponding image procossing classification of user information
With the face characteristic of the personage in first image relative to image procossing scheme, used with improving processing result image and first
The identical precision of the hobby at family, further increases the intelligence of image procossing.
As shown in figure 3, in embodiments of the present invention, the first processing parameter according to image procossing at least one of classify with
The method that the different second user of first user determines includes:
S301, obtain image procossing classification in multiple second users history image and corresponding second processing parameter；
S302, by carrying out model training to history image and second processing parameter, obtain the first processing parameter.
In embodiments of the present invention, each user has been after having handled raw video and having generated history image, can it is automatic or
Raw video will manually be handled to generate the second processing parameter sharing of history image to network, and be stored Yu Yuqi
In corresponding image procossing classification.At this point it is possible to for history image and second processing parameter by the method for deep learning or
The method of network confrontation carries out model training, obtains the first processing for handling the first image according to the model after training and joins
Number.
Wherein, the first processing parameter may include that colorimetric parameter, light efficiency parameter, stage property parameter etc. can be used in adjustment first
The parameter of the display effect of image.
In addition to this, the first user can also directly acquire the multiple groups second processing ginseng in corresponding image procossing classification
Number, and voluntarily selected according to its effect shown, as the first processing parameter for handling the first image.
As shown in figure 4, in embodiments of the present invention, after generating at least second image, image processing method further include:
Image to be modified in S104, the second image of selection；
S105, the first operation for receiving the first user；
S106, according to the first operation processing image to be modified, and generate third image.
In embodiments of the present invention, since the first different images includes different background scene, different human bodies is special
Sign also has slight difference, may when being handled for different background scenes and characteristics of human body using unified processing parameter
Occurs still not perfect image to be modified in the second image after treatment, at this point it is possible to carry out to the image to be modified
It manually adjusts, to reach promising result.Specifically, the first user can input the first operation for adjusting image to be modified,
With the adjustment for partially or fully carrying out modified to image to be modified, for example, fine tuning video tone, zooming in or out any five
Official, adjustment image light efficiency increase or decrease stage property, modification face or hair color etc..Image to be modified is by the first user's
After manually adjusting, third image can be generated, to improve the beautification degree of image, it is made more to meet the hobby of the first user.
As shown in figure 5, in embodiments of the present invention, after generating third image, image processing method further include:
S107, the first Optimal Parameters for obtaining third image；
S108, the first Optimal Parameters are pushed to image procossing classification at least one second user.
When image to be modified due to the first operation adjustment according to user, the first operation may be for by processing parameter tune
It is whole to adjust image to be modified, processing parameter adjusted can be directly acquired at this time as third image based on the first image
First Optimal Parameters.But the first operation may also be directly to modify operation to image to be modified, at this point, should be by third image
It is compared analysis with the first image, and obtains first Optimal Parameters of the third image based on the first image.
It in embodiments of the present invention,, can be with when obtaining the first new image again after obtaining the first Optimal Parameters
Directly the first image is handled using first Optimal Parameters, to obtain the first customer satisfaction system image processing effect.Together
When, after obtaining the first Optimal Parameters, the first Optimal Parameters can also be shared to network, the first Optimal Parameters are pushed
At least one second user into image procossing classification, so that second user is classified using corresponding image procossing carries out image
When processing, first Optimal Parameters can also be directly acquired and carry out image procossing.
Due to carrying out image procossing for the first image and being adjusted processing to the image to be modified in the second image
When, it is therefore, to implement in the present invention at least one of the background scene of image and characteristics of human body processing of modifying
In example, the first Optimal Parameters include in Optimal Parameters associated with scene characteristic and Optimal Parameters associated with characteristics of human body
At least one.
As shown in fig. 6, in embodiments of the present invention, image processing method further include:
S109, it determines in second user using the number of users of the first Optimal Parameters processing image；
S110, the popularity that the first Optimal Parameters are determined according to number of users.
After the popularity of the first Optimal Parameters has been determined, the image processing method of the embodiment of the present invention further include:
The first user is given according to the popularity of the first Optimal Parameters and is motivated.
In embodiments of the present invention, it can determine that it is being worked as by using the number of users that the first Optimal Parameters handle image
Number of users ranking under preceding image procossing classification, to determine the popularity of first Optimal Parameters.
It, can be to sharing the of first Optimal Parameters when the ranking of first Optimal Parameters is located within predetermined ranking
One user gives corresponding material reward.
When the ranking of first Optimal Parameters is located within predetermined ranking, the of first Optimal Parameters can will be shared
The head image information or nickname information that one user gives preferentially are shown in the image procossing on the relevant platform of image procossing or software
In classification, and/or by first Optimal Parameters processing image treatment effect be preferentially shown in the relevant platform of image procossing or
In image procossing classification on software.
It, can be relevant in image procossing when multiple first Optimal Parameters of the first user are respectively positioned within predetermined ranking
Platform or software are promoted or are publicized for it, and are provided for it for providing image procossing clothes to second user in a manner of commercial
The platform of business.
As shown in fig. 7, the embodiment of the invention also provides a kind of image processing apparatus 400, wherein include:
Image acquisition unit 401 is configured to obtain the first image of the first user；
User's taxon 402 is configured to determine the classification of at least one image procossing belonging to the first user；
Image processing unit 403 is configured to handle the first image using the first processing parameter in image procossing classification,
And generate at least one second image；Wherein, the first processing parameter is used according at least one of image procossing classification with first
The different second user in family determines.
In embodiments of the present invention, user's taxon 402 includes:
Information acquisition unit 501 is configured to obtain the user information of the first user；
Classification processing unit 502, be configured to according to user information determine the first user belonging at least one image
Reason classification, or, determining that at least one image procossing belonging to the first user is classified according to user information and the first image.
In an embodiment of the invention, the user information of the first user of the acquisition of information acquisition unit 501 may include
And it is not limited to the social information and behavioural information of the first user.When user information is social information, social information can be specific
For chat data of first user in different social platforms and social software.Classification processing unit 502 can be according to chat number
Image procossing classification corresponding with its style is matched according to the chat style for analyzing the first user, and for the chat style.When
When user information is behavioural information, behavioural information can be specially image procossing of first user in different images processing software
Parameter.Classification processing unit 502 can analyze the image procossing style of the first user according to Image Processing parameter, and be directed to the figure
As processing style matches image procossing classification corresponding with its style.When user information is behavioural information, behavioural information may be used also
To be specially the picture browsing data of the first user.Classification processing unit 502 can analyze first according to picture browsing data and use
The image style of family preference, and corresponding image procossing classification is matched for the image style.
It should be noted that when the user information of the first user of application of user's taxon 402 determines belonging to the first user
Image procossing classification when, classification processing unit 502 can use social information, behavioural information or its combine form determine
One or more kinds of styles of first user, and be that the one or more image procossings classification of the first user matching are for selection.
In another embodiment, classification processing unit 502 determines first according to user information and the first image
When at least one image procossing belonging to user is classified, the face characteristic in the first image can be first obtained, and according to face spy
The combination of sign and the user information of the first user determines that image procossing is classified.Wherein, face characteristic may include face feature,
Feature or the feature of hair style of shape of face etc..After user information and face characteristic can be combined by classification processing unit 502, choosing
Select in user information corresponding image procossing classification with the face characteristic of the personage in first image relative to image procossing
Scheme further increases the intelligence of image procossing to improve the precision that the hobby of processing result image and the first user is coincide.
In embodiments of the present invention, image processing unit 403 includes:
Parameter acquiring unit 601, be configured to obtain image procossing classification in multiple second users history image and
Corresponding second processing parameter；
Model training unit 602 is configured to obtain by carrying out model training to history image and second processing parameter
First processing parameter.
In embodiments of the present invention, each user has been after having handled raw video and having generated history image, can it is automatic or
Raw video will manually be handled to generate the second processing parameter sharing of history image to network, and be stored Yu Yuqi
In corresponding image procossing classification.At this point, these the available history images of parameter acquiring unit 601 and corresponding second processing
Parameter, and can by model training unit 602 for history image and second processing parameter using the method for deep learning or
The method of network confrontation carries out model training, is joined with obtaining the first processing for handling the first image according to the model after training
Number.
In embodiments of the present invention, image processing apparatus 400 further includes image control unit 404, is configured to selection
Image to be modified in two images；Receive the first operation of the first user；According to the first operation processing image to be modified, and generate
Third image.
In embodiments of the present invention, since the first different images includes different background scene, different human bodies is special
Sign also has slight difference, may when being handled for different background scenes and characteristics of human body using unified processing parameter
Occurs still not perfect image to be modified in the second image after treatment, at this point it is possible to carry out to the image to be modified
It manually adjusts, to reach promising result.Specifically, image control unit 404 can receive the first user input for adjusting
First operation of image to be modified, and the adjustment for partially or fully carrying out modified to image to be modified, for example, fine tuning shadow
As tone, zoom in or out any face, adjustment image light efficiency, increase or decrease stage property, modification face or hair color etc..To
Modification image can be generated third image, to improve the beautification degree of image, make it more after the manually adjusting of the first user
Meet the hobby of the first user.
In embodiments of the present invention, image processing apparatus 400 further includes parameter interactive unit 405, is configured to acquisition
First Optimal Parameters of three images；First Optimal Parameters are pushed at least one second user in image procossing classification.
In embodiments of the present invention, the first Optimal Parameters are pushed to at least one second user in image procossing classification
Afterwards, the number of users for using the first Optimal Parameters to handle image in second user can be determined by obtaining network data, with
The popularity of the first Optimal Parameters is determined according to number of users, and according to the popularity of the first Optimal Parameters the first user is given sharp
It encourages.
As shown in figure 8, the embodiment of the present invention provides a kind of electronic equipment again, including at least one processor 701, at least
One memory 702 and the computer program instructions being stored in memory 702, when computer program instructions are by processor
701 execute when, processor 701 can:
Obtain the first image of the first user；
Determine that at least one image procossing belonging to the first user is classified；
Using image procossing classify in the first processing parameter handle the first image, and generate at least one second image；
Wherein, the first processing parameter is determined according at least one of the image procossing classification second user different from the first user.
Specifically, above-mentioned processor 701 may include central processing unit or specific integrated circuit.Memory 702 can be with
Including the mass storage etc. for data or instruction.Processor 702 is by reading and executing the calculating stored in memory
Machine program instruction, to realize the data processing method of above-described embodiment.
In embodiments of the present invention, electronic equipment can also include communication interface 703 and bus 704.Wherein, communication interface
703 are mainly used for realizing the communication in the embodiment of the present invention between each module, device, unit and/or equipment.Bus 704 can be with
Including hardware, software or both, all parts of data processing equipment are coupled to each other together.
It is apparent to those skilled in the art that for convenience and simplicity of description, the data of foregoing description
The electronic equipment that processing method is applied to, can be with reference to the corresponding description in before-mentioned products embodiment, and details are not described herein.
Above embodiments are only exemplary embodiment of the present invention, are not used in the limitation present invention, protection scope of the present invention
It is defined by the claims.Those skilled in the art can within the spirit and scope of the present invention make respectively the present invention
Kind modification or equivalent replacement, this modification or equivalent replacement also should be regarded as being within the scope of the present invention.
Claims (10)
1. a kind of image processing method, comprising:
Obtain the first image of the first user；
Determine that at least one image procossing belonging to first user is classified；
The first processing parameter in classification is handled using described image and handles first image, and generates at least one second shadow
Picture；Wherein, first processing parameter is different from first user according at least one of described image processing classification
Second user determines.
2. image processing method according to claim 1, wherein determine at least one image belonging to first user
Processing is classified
Obtain the user information of first user；
According to the user information determine first user belonging at least one image procossing classification, or, according to the use
Family information and first image determine that at least one image procossing belonging to first user is classified.
3. image processing method according to claim 1, wherein first processing parameter is handled according to described image divides
The method that at least one of class second user different from first user determines includes:
The history image of multiple second users in acquisition described image processing classification and corresponding second processing parameter；
By carrying out model training to the history image and the second processing parameter, first processing parameter is obtained.
4. image processing method according to claim 1, wherein after generating at least second image, further includes:
Select the image to be modified in second image；
Receive the first operation of first user；
According to image to be modified described in first operation processing, and generate third image.
5. image processing method according to claim 4, wherein after generating third image, further includes:
Obtain the first Optimal Parameters of the third image；
First Optimal Parameters are pushed into second user described at least one of described image processing classification.
6. image processing method according to claim 5, wherein first Optimal Parameters include related to scene characteristic
At least one of the Optimal Parameters of connection and Optimal Parameters associated with characteristics of human body.
7. image processing method according to claim 5, wherein further include:
It determines in the second user using the number of users of first Optimal Parameters processing image；
The popularity of first Optimal Parameters is determined according to the number of users.
8. image processing method according to claim 7, wherein further include:
First user is given according to the popularity of first Optimal Parameters and is motivated.
9. a kind of image processing apparatus, wherein include:
Image acquisition unit is configured to obtain the first image of the first user；
User's taxon is configured to determine that at least one image procossing belonging to first user is classified；
Image processing unit is configured to handle first shadow using the first processing parameter in described image processing classification
Picture, and generate at least one second image；Wherein, first processing parameter handles at least one in classification according to described image
A second user different from first user determines.
10. a kind of electronic equipment, in the memory including at least one processor, at least one processor and storage
Computer program instructions, when the computer program instructions are executed by the processor, the processor can:
Obtain the first image of the first user；
Determine that at least one image procossing belonging to first user is classified；
The first processing parameter in classification is handled using described image and handles first image, and generates at least one second shadow
Picture；Wherein, first processing parameter is different from first user according at least one of described image processing classification
Second user determines.
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