WO2015027768A1 - Devices and methods for image processing - Google Patents

Devices and methods for image processing Download PDF

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Publication number
WO2015027768A1
WO2015027768A1 PCT/CN2014/082202 CN2014082202W WO2015027768A1 WO 2015027768 A1 WO2015027768 A1 WO 2015027768A1 CN 2014082202 W CN2014082202 W CN 2014082202W WO 2015027768 A1 WO2015027768 A1 WO 2015027768A1
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WIPO (PCT)
Prior art keywords
image
image processing
processed
feature attributes
processing data
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Ceased
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PCT/CN2014/082202
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French (fr)
Inventor
Baolong YANG
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Tencent Technology Shenzhen Co Ltd
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Tencent Technology Shenzhen Co Ltd
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Publication of WO2015027768A1 publication Critical patent/WO2015027768A1/en
Priority to US14/745,833 priority Critical patent/US20150286890A1/en
Anticipated expiration legal-status Critical
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    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; COUNTING
    • G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
    • G06V20/00—Scenes; Scene-specific elements
    • G06V20/35—Categorising the entire scene, e.g. birthday party or wedding scene
    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; COUNTING
    • G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T11/00—Two-dimensional [2D] image generation
    • G06T11/60—Creating or editing images; Combining images with text
    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; COUNTING
    • G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T5/00—Image enhancement or restoration
    • G06T5/20—Image enhancement or restoration using local operators
    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; COUNTING
    • G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T5/00—Image enhancement or restoration
    • G06T5/77—Retouching; Inpainting; Scratch removal
    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; COUNTING
    • G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T2207/00—Indexing scheme for image analysis or image enhancement
    • G06T2207/10—Image acquisition modality
    • G06T2207/10004—Still image; Photographic image
    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; COUNTING
    • G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T2207/00—Indexing scheme for image analysis or image enhancement
    • G06T2207/20—Special algorithmic details
    • G06T2207/20004—Adaptive image processing
    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; COUNTING
    • G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T2207/00—Indexing scheme for image analysis or image enhancement
    • G06T2207/20—Special algorithmic details
    • G06T2207/20092—Interactive image processing based on input by user
    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; COUNTING
    • G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T2207/00—Indexing scheme for image analysis or image enhancement
    • G06T2207/20—Special algorithmic details
    • G06T2207/20172—Image enhancement details

Definitions

  • Certain embodiments of the present invention are directed to computer technology.More particularly,some embodiments of the invention provide systems and methods for data processing.Merely by way of example,some embodiments of the invention have been applied to image processing.But it would be recognized that the invention has a much broader range of applicability.
  • Image beautification applications become popular,and more people employ image beautification applications to process photos to obtain images with more desirable effects.
  • a user may use two approaches for beautification of images.
  • an image processing with user-defined parameters offers interfaces of parameters,such as maturity,color temperature,and contrast,to a user, and allows the user to adjust various image parameters according to desirable image effects.
  • Another approach corresponds to customized filter processing which provides various image processing templates,and the user is allowed to select different image processing templates based on the images to be processed,so as to obtain different image styles.
  • a method for image processing. For example,an image to be processed is opened;the image is analyzed to obtain one or more feature attributes of the image;image processing data is obtained based on at least information associated with the feature attributes;the image is processed based on at least information associated with the image processing data;and the processed image is displayed.
  • an image processing device includes: an opening unit configured to open an image to be processed;an analysis unit configured to analyze the image to obtain one or more feature attributes of the image; an acquisition unit configured to obtain image processing data based on at least information associated with the feature attributes; a processing unit configured to process the image based on at least information associated with the image processing data;and a displaying unit configured to display the processed image.
  • a non-transitory computer readable storage medium includes programming instructions for image processing.
  • the programming instructions are configured to cause one or more data processors to execute certain operations.
  • an image to be processed is opened;the image is analyzed to obtain one or more feature attributes of the image;image processing data is obtained based on at least information associated with the feature attributes;the image is processed based on at least information associated with the image processing data;and the processed image is displayed.
  • the systems and methods disclosed herein are configured to analyze feature attributes of an image and process the image according to the feature attributes so as to simplify operations,save time for image processing and obtain desirable image effects.
  • Figure 1 is a simplified diagram showing a method for image processing according to one embodiment of the present invention.
  • Figure 2 is a simplified diagram showing a method for image processing according to another embodiment of the present invention.
  • Figure 3 is a simplified diagram showing a device for image processing according to one embodiment of the present invention.
  • Figure 4 is a simplified diagram showing a device for image processing according to another embodiment of the present invention.
  • Figure 1 is a simplified diagram showing a method for image processing according to one embodiment of the present invention.
  • the diagram is merely an example,which should not unduly limit the scope of the claims.One of ordinary skill in the art would recognize many variations,alternatives,and modifications.
  • the method 100 includes at least processes 101-104.
  • the method 100 is executed by a terminal.
  • the terminal includes a smart phone, a tablet computer, a notebook computer,etc.As an example,the method is executed using an image processing application on the terminal.
  • the process 101 includes:opening an image to be processed.
  • the image processing application on the terminal receives an instruction from a user to open the image to be processed,and opens the image to be processed according to the instruction.
  • the image to be processed can be an image saved on a storage device of a terminal.
  • the image to be processed can be a self-portrait image,a scenery image,an animal image,etc.
  • the process 102 includes:analyzing the image to be processed,and obtaining one or more feature attributes of the image to be processed.
  • the image processing application on the terminal analyzes the image content,the image style,and/or the expression of people of the image to be processed.
  • the image content includes a picture displayed in the image.
  • the image content includes a portrait image,a scenery image,an animal image,etc.
  • the image style includes an overall color tone displayed in the image.For example,if a photo is taken in a dimly-lit location,such as a bar,then the displayed color tone in the image corresponds to a cold color tone. In another example,if a photo is taken on a sunny beach,then the displayed color tone in the image corresponds to a warm color tone.
  • the expression of people includes a grim expression,a joyful expression,etc.
  • the image content,the image style,and/or the expression of the people in the image are analyzed,and one or more feature attributes of the image to be processed are obtained.
  • the feature attributes are obtained from the analysis of the image to be processed,and include an image type attribute,an exposure attribute,a gender attribute,an expression attribute,etc.
  • the image type attribute includes a portrait type or a scenery type.
  • the gender attribute includes male and female.
  • the expression attribute includes grim,joyful,etc.
  • variable interfaces such as YouTu,Vision Open Statistical Models (VOSM),and image content subject identification,may be implemented to analyze the image content,the portrait expression,etc.
  • YouTu is an application for portrait processing.
  • VOSM that includes a human face fitting library based on the open source technology can detect profiles of human faces and locations and shapes of important features,such as mouth corners,eyes,and noses.
  • the process 102 is executed on a server,according to certain embodiments.
  • the image to be processed is sent to the server,and the server analyzes the image content,the image style,the expression of people in the image,etc.,so as to obtain the feature attributes of the image to be processed.
  • the process 103 includes:obtaining image processing data according to the feature attributes.For example, the process 103 is executed on a terminal. In another example, the process 103 is executed on a server, and the server obtains at least one type of the image processing data according to the feature attributes. In yet another example,each type of image processing data corresponds to an image processing template.
  • the process 104 includes:processing the image to be processed according to the image processing data,and displaying the image after processing.
  • the processing of the image to be processed according to the image processing data includes:applying (e.g.,in sequence) one or more image processing templates corresponding to the image processing data to the image to be processed.
  • FIG 2 is a simplified diagram showing a method for image processing according to another embodiment of the present invention.
  • the diagram is merely an example,which should not unduly limit the scope of the claims.
  • One of ordinary skill in the art would recognize many variations,alternatives,and modifications.
  • the method 200 includes at least processes 201-207.
  • a terminal saves one or more feature attributes and image processing data corresponding to the feature attributes.
  • the feature attributes are obtained after an image processing application on the terminal analyzes the image to be processed.
  • the feature attributes include one or more of the following:an image type attribute,an exposure attribute,a gender attribute,an expression attribute,etc.
  • the image type includes a portrait type or a scenery type.
  • each type of the image processing data corresponds to one or more feature attributes.
  • the image processing data is used to process an image,where the processed image is in accordance with the feature attributes.
  • the feature attributes and the image processing data corresponding to the feature attributes can be saved in a terminal in advance,according to certain embodiments.For example,during subsequent image processing,the image processing data corresponding to the feature attributes can be directly obtained for further processing of the image.
  • the feature attributes and the image processing data corresponding to the feature attributes are saved on a server,so that the server can process the image,
  • the process 202 includes:opening an image to be processed.
  • the image processing application on the terminal receives an instruction from a user to open the image to be processed,and opens the image to be processed according to the instruction.
  • the image to be processed can be an image saved on a storage device of a terminal.
  • the image to be processed can be a self-portrait image,a scenery image,an animal image,etc.
  • the process 203 includes:analyzing the image to be processed,and obtaining one or more feature attributes of the image to be processed.
  • the image processing application on the terminal analyzes the image content,the image style,and/or the expression of people of the image to be processed,so as to obtain the feature attributes of the image to be processed.
  • the feature attributes include an image type attribute,an exposure attribute,a gender attribute,an expression attribute,etc.
  • the image type attribute includes a portrait type or a scenery type.
  • the process 203 is the same as the process 102 as shown in Figure 1,according to some embodiments.
  • an image to be processed includes a photo showing a girl who laughs aloud on a meadow under the sun.
  • feature attributes including a gender attribute and an expression attribute,are obtained.
  • the gender is female and the expression is a joyful expression.
  • an image to be processed includes a photo of a girl in a bar with dim lighting.
  • an image to be processed includes a scenery image or an animal image
  • an image processing application in a terminal analyzes the opened image to be processed,the feature attributes,e.g.,an image type attribute,are obtained.
  • the image type is nature scenery.
  • the process 204 includes:image processing data is obtained according to the feature attributes.
  • the terminal queries pre-stored feature attributes and pre-stored image processing data associated with the pre-stored feature attributes on the terminal, and then obtains image processing data corresponding to the obtained feature attributes.
  • the obtained feature attributes include a gender attribute and an expression attribute,where the gender attribute includes female,and the expression attribute includes a joyful expression.Then the image processing data corresponding to female and the image processing data corresponding to the joyful expression are obtained.
  • the image processing data corresponding to the female gender attribute are used for performing beautification processing of the portrait on the image.
  • the image processing data corresponding to the joyful expression attribute are used for performing warm color tone processing on the image.
  • the image processing data corresponding to each feature attribute can be used for performing various different processing on different aspects of the image.
  • the process 205 includes:processing the image to be processed according to the image processing data,and displaying the image after processing.
  • the processing of the image to be processed according to the image processing data includes:applying (e.g.,in sequence) one or more image processing templates corresponding to the image processing data to the image to be processed.
  • the beautification processing includes whitening processing on the skin in the portrait,removal of spots on the face in the portrait,etc.
  • the color tone of the image to be processed is adjusted to warm,so as to match the image closer to an original photo and obtain better image effects.
  • a user has a most appropriate beautification processing module for processing the image without trying different filters in sequence and adjusts various parameters,so that the user experience is vastly
  • the process 206 includes:receiving an instruction from a user for manually adjusting the processed image.
  • the user views the image effects after the beautification processing and discovers that the effects of the image fail the user’sexpectation,the user is able to manually adjust the image with other special effect filters or to adjust user-defined parameters.
  • the terminal receives instructions from the user to manually adjust the image with other special effect filters or to adjust the user-defined parameters.
  • the process 207 includes:adjusting the processed image based on at least information associated with the instruction and displaying the processed image after the adjustment.For example,if the image after the adjustment still does not satisfy the user,the user is able to continue to adjust manually.
  • FIG. 3 is a simplified diagram showing a device for image processing according to one embodiment of the present invention.
  • the diagram is merely an example,which should not unduly limit the scope of the claims.
  • One of ordinary skill in the art would recognize many variations,alternatives,and modifications.
  • the device 300 includes an opening unit 301,an analysis unit 302,an acquisition unit 303, a processing unit 304,and a displaying unit 305.
  • the opening unit 301 is configured to open an image to be processed.
  • the opening unit 301 receives an instruction from a user to open the image to be processed,and opens the image to be processed according to the instruction.
  • the image to be processed can be an image saved on a storage device of a terminal.
  • the image to be processed can be a self-portrait image,a scenery image,an animal image,etc.
  • the analysis unit 302 is configured to analyze the image to be processed and obtain one or more feature attributes of the image to be processed.
  • the analysis unit 302 analyzes the image content, the image style,and/or the expression of people of the image to be processed.
  • the image content includes a picture displayed in the image.
  • the image content includes a portrait image,a scenery image,an animal image,etc.
  • the image style includes an overall color tone displayed in the image.For example,if a photo is taken in a dimly-lit location,such as a bar,then the displayed color tone in the image corresponds to a cold color tone.
  • the expression of people includes a grim expression,a joyful expression,etc.
  • the feature attributes include an image type attribute,an exposure attribute,a gender attribute,an expression attribute,etc.
  • the image type attribute includes a portrait type or a scenery type.
  • the acquisition unit 303 is configured to obtain image processing data according to the feature attributes.
  • the processing unit 304 is configured to process the image to be processed according to the image processing data.
  • at least one feature attribute is obtained after the image to be processed is analyzed,and accordingly at least one type of corresponding image processing data is obtained.
  • each type of image processing data corresponds to an image processing template.
  • the processing unit 304 is configured to:apply at least one image processing template corresponding to the image processing data to the image to be processed in sequence.
  • the displaying unit 305 is configured to display the image after processing.
  • the device 300 is configured to execute the method 100,according to some embodiments.
  • FIG 4 is a simplified diagram showing a device for image processing according to another embodiment of the present invention.
  • the diagram is merely an example,which should not unduly limit the scope of the claims.One of ordinary skill in the art would recognize many variations,alternatives,and modifications.
  • the device 300 further includes a saving unit 306,a reception unit 307,and an adjusting unit 308.
  • the saving unit 306 is configured to save the feature attributes and the image processing data corresponding to the feature attributes,and the image processing data can be utilized for processing the image afterwards.
  • the processing unit 304 is configured to analyze the image to be processed according to the image processing data.
  • the displaying unit 305 displays the processed image.
  • the reception unit 307 is configured to receive an instruction from the user for manually adjusting the processed image.
  • the adjusting unit 308 is configured to adjust the processed image according to the instruction,and the displaying unit 305 is further configured to display the processed image after readjustment.
  • the device 400 is configured to execute the method 200,according to some embodiments.
  • a method for image processing.
  • an image to be processed is opened;the image is analyzed to obtain one or more feature attributes of the image;image processing data is obtained based on at least information associated with the feature attributes;the image is processed based on at least information associated with the image processing data; and the processed image is displayed.
  • the method is implemented according to at least Figure 1 and/or Figure 2.
  • an image processing device includes: an opening unit configured to open an image to be processed;an analysis unit configured to analyze the image to obtain one or more feature attributes of the image; an acquisition unit configured to obtain image processing data based on at least information associated with the feature attributes; a processing unit configured to process the image based on at least information associated with the image processing data;and a displaying unit configured to display the processed image.
  • an opening unit configured to open an image to be processed
  • an analysis unit configured to analyze the image to obtain one or more feature attributes of the image
  • an acquisition unit configured to obtain image processing data based on at least information associated with the feature attributes
  • a processing unit configured to process the image based on at least information associated with the image processing data
  • a displaying unit configured to display the processed image.
  • the device is implemented according to at least Figure 3 and/or Figure 4.
  • a non-transitory computer readable storage medium includes programming instructions for image processing.
  • the programming instructions are configured to cause one or more data processors to execute certain operations.
  • an image to be processed is opened;the image is analyzed to obtain one or more feature attributes of the image;image processing data is obtained based on at least information associated with the feature attributes;the image is processed based on at least information associated with the image processing data;and the processed image is displayed.
  • the storage medium is implemented according to at least Figure 1 and/or Figure 2.
  • the methods and systems described herein may be implemented on many different types of processing devices by program code comprising program instructions that are executable by the device processing subsystem.
  • the software program instructions may include source code,object code, machine code,or any other stored data that is operable to cause a processing system to perform the methods and operations described herein.Other implementations may also be used,however,such as firmware or even appropriately designed hardware configured to perform the methods and systems described herein.
  • the systems’and methods’data may be stored and implemented in one or more different types of computer-implemented data stores, such as different types of storage devices and programming constructs (e.g.,RAM, ROM,Flash memory,flat files,databases,programming data structures,programming variables,IF-THEN (or similar type) statement constructs,etc.).
  • data structures describe formats for use in organizing and storing data in databases, programs,memory,or other computer-readable media for use by a computer program.
  • the systems and methods may be provided on many different types of computer-readable media including computer storage mechanisms (e.g.,CD-ROM, diskette,RAM,flash memory,computer’shard drive,etc.) that contain instructions (e.g.,software) for use in execution by a processor to perform the methods’operations and implement the systems described herein.
  • the computer components,software modules,functions,data stores and data structures described herein may be connected directly or indirectly to each other in order to allow the flow of data needed for their operations.
  • a module or processor includes but is not limited to a unit of code that performs a software operation,and can be implemented for example as a subroutine unit of code,or as a software function unit of code,or as an object (as in an object-oriented paradigm),or as an applet,or in a computer script language,or as another type of computer code.
  • the software components and/or functionality may be located on a single computer or distributed across multiple computers depending upon the situation at hand.
  • the computing system can include client devices and servers.
  • a client device and server are generally remote from each other and typically interact through a communication network.
  • the relationship of client device and server arises by virtue of computer programs running on the respective computers and having a client device-server relationship to each other.

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  • Engineering & Computer Science (AREA)
  • Physics & Mathematics (AREA)
  • General Physics & Mathematics (AREA)
  • Theoretical Computer Science (AREA)
  • Multimedia (AREA)
  • Processing Or Creating Images (AREA)
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Abstract

Devices and methods are provided for image processing. For example, an image to be processed is opened; the image is analyzed to obtain one or more feature attributes of the image; image processing data is obtained based on at least information associated with the feature attributes; the image is processed based on at least information associated with the image processing data; and the processed image is displayed.

Description

DEVICES AND METHODS FOR IMAGE PROCESSING
CROSS-REFERENCES TO RELATED APPLICATIONS
The application claims priority to Chinese Patent Application No. 201310313816.5,filed July 24,2013,incorporated by reference herein for all  purposes.
BACKGROUND OF THE INVENTION
Certain embodiments of the present invention are directed to computer  technology.More particularly,some embodiments of the invention provide systems  and methods for data processing.Merely by way of example,some embodiments of  the invention have been applied to image processing.But it would be recognized that  the invention has a much broader range of applicability.
Image beautification applications become popular,and more people  employ image beautification applications to process photos to obtain images with  more desirable effects.Currently,a user may use two approaches for beautification of  images.For example,an image processing with user-defined parameters offers  interfaces of parameters,such as maturity,color temperature,and contrast,to a user, and allows the user to adjust various image parameters according to desirable image  effects.Another approach corresponds to customized filter processing which  provides various image processing templates,and the user is allowed to select  different image processing templates based on the images to be processed,so as to  obtain different image styles.
The above-noted conventional technology has some disadvantages.For  example,a user is allowed to merely adjust different parameters in sequence or  employ different image processing templates,which results in complicated operations, waste of time,and poor image effects.
Hence it is highly desirable to improve the techniques for image  processing.
BRIEF SUMMARY OF THE INVENTION
According to one embodiment,a method is provided for image processing. For example,an image to be processed is opened；the image is analyzed to obtain one  or more feature attributes of the image；image processing data is obtained based on at  least information associated with the feature attributes；the image is processed based  on at least information associated with the image processing data；and the processed  image is displayed.
According to another embodiment,an image processing device includes: an opening unit configured to open an image to be processed；an analysis unit  configured to analyze the image to obtain one or more feature attributes of the image； an acquisition unit configured to obtain image processing data based on at least  information associated with the feature attributes；a processing unit configured to  process the image based on at least information associated with the image processing  data；and a displaying unit configured to display the processed image.
According to yet another embodiment,a non-transitory computer readable  storage medium includes programming instructions for image processing.The  programming instructions are configured to cause one or more data processors to  execute certain operations.For example,an image to be processed is opened；the  image is analyzed to obtain one or more feature attributes of the image；image  processing data is obtained based on at least information associated with the feature  attributes；the image is processed based on at least information associated with the  image processing data；and the processed image is displayed.
For example,the systems and methods disclosed herein are configured to  analyze feature attributes of an image and process the image according to the feature  attributes so as to simplify operations,save time for image processing and obtain  desirable image effects.
Depending upon embodiment,one or more benefits may be achieved. These benefits and various additional objects,features and advantages of the present  invention can be fully appreciated with reference to the detailed description and  accompanying drawings that follow.
BRIEF DESCRIPTION OF THE DRAWINGS
Figure 1 is a simplified diagram showing a method for image processing  according to one embodiment of the present invention.
Figure 2 is a simplified diagram showing a method for image processing  according to another embodiment of the present invention.
Figure 3 is a simplified diagram showing a device for image processing  according to one embodiment of the present invention.
Figure 4 is a simplified diagram showing a device for image processing  according to another embodiment of the present invention.
DETAILED DESCRIPTION OF THE INVENTION
Figure 1 is a simplified diagram showing a method for image processing  according to one embodiment of the present invention.The diagram is merely an  example,which should not unduly limit the scope of the claims.One of ordinary skill  in the art would recognize many variations,alternatives,and modifications.The  method 100 includes at least processes 101-104.
According to one embodiment,the method 100 is executed by a terminal. For example,the terminal includes a smart phone,a tablet computer,a notebook  computer,etc.As an example,the method is executed using an image processing  application on the terminal.
According to another embodiment,the process 101 includes:opening an  image to be processed.For example,the image processing application on the terminal  receives an instruction from a user to open the image to be processed,and opens the  image to be processed according to the instruction.As an example,the image to be  processed can be an image saved on a storage device of a terminal.In another  example,the image to be processed can be a self-portrait image,a scenery image,an  animal image,etc.
According to yet another embodiment,the process 102 includes:analyzing  the image to be processed,and obtaining one or more feature attributes of the image  to be processed.For example,the image processing application on the terminal  analyzes the image content,the image style,and/or the expression of people of the  image to be processed.As an example,the image content includes a picture displayed  in the image.As another example,the image content includes a portrait image,a  scenery image,an animal image,etc.As yet another example,the image style  includes an overall color tone displayed in the image.For example,if a photo is taken  in a dimly-lit location,such as a bar,then the displayed color tone in the image  corresponds to a cold color tone.In another example,if a photo is taken on a sunny  beach,then the displayed color tone in the image corresponds to a warm color tone. In yet another example,the expression of people includes a grim expression,a joyful  expression,etc.
In one embodiment,after the image content,the image style,and/or the  expression of the people in the image are analyzed,and one or more feature attributes  of the image to be processed are obtained.For example,the feature attributes are  obtained from the analysis of the image to be processed,and include an image type  attribute,an exposure attribute,a gender attribute,an expression attribute,etc.In  another example,the image type attribute includes a portrait type or a scenery type. In yet another example,the gender attribute includes male and female.In yet another  example,the expression attribute includes grim,joyful,etc.
In another embodiment,various interfaces such as YouTu,Vision Open  Statistical Models (VOSM),and image content subject identification,may be  implemented to analyze the image content,the portrait expression,etc.For example, YouTu is an application for portrait processing.In another example,VOSM that  includes a human face fitting library based on the open source technology can detect  profiles of human faces and locations and shapes of important features,such as mouth  corners,eyes,and noses.
The process 102 is executed on a server,according to certain embodiments. For example,the image to be processed is sent to the server,and the server analyzes  the image content,the image style,the expression of people in the image,etc.,so as to  obtain the feature attributes of the image to be processed.
In yet another embodiment,the process 103 includes:obtaining image  processing data according to the feature attributes.For example,the process 103 is  executed on a terminal.In another example,the process 103 is executed on a server, and the server obtains at least one type of the image processing data according to the  feature attributes.In yet another example,each type of image processing data  corresponds to an image processing template.
According to one embodiment,the process 104 includes:processing the  image to be processed according to the image processing data,and displaying the  image after processing.For example,the processing of the image to be processed  according to the image processing data includes:applying (e.g.,in sequence) one or  more image processing templates corresponding to the image processing data to the  image to be processed.
Figure 2 is a simplified diagram showing a method for image processing  according to another embodiment of the present invention.The diagram is merely an  example,which should not unduly limit the scope of the claims.One of ordinary skill  in the art would recognize many variations,alternatives,and modifications.The  method 200 includes at least processes 201-207.
According to one embodiment,during the process 201,a terminal saves  one or more feature attributes and image processing data corresponding to the feature  attributes.For example,the feature attributes are obtained after an image processing  application on the terminal analyzes the image to be processed.As an example,the  feature attributes include one or more of the following:an image type attribute,an  exposure attribute,a gender attribute,an expression attribute,etc.As another  example,the image type includes a portrait type or a scenery type.As yet another  example,each type of the image processing data corresponds to one or more feature  attributes.As yet another example,the image processing data is used to process an  image,where the processed image is in accordance with the feature attributes.The  feature attributes and the image processing data corresponding to the feature attributes  can be saved in a terminal in advance,according to certain embodiments.For  example,during subsequent image processing,the image processing data  corresponding to the feature attributes can be directly obtained for further processing  of the image.The feature attributes and the image processing data corresponding to  the feature attributes are saved on a server,so that the server can process the image, according to some embodiments.
According to another embodiment,the process 202 includes:opening an  image to be processed.For example,the image processing application on the terminal  receives an instruction from a user to open the image to be processed,and opens the  image to be processed according to the instruction.As an example,the image to be  processed can be an image saved on a storage device of a terminal.In another  example,the image to be processed can be a self-portrait image,a scenery image,an  animal image,etc.
According to yet another embodiment,the process 203 includes:analyzing  the image to be processed,and obtaining one or more feature attributes of the image  to be processed.For example,the image processing application on the terminal  analyzes the image content,the image style,and/or the expression of people of the  image to be processed,so as to obtain the feature attributes of the image to be  processed.As an example,the feature attributes include an image type attribute,an  exposure attribute,a gender attribute,an expression attribute,etc.In another example, the image type attribute includes a portrait type or a scenery type.The process 203 is  the same as the process 102 as shown in Figure 1,according to some embodiments. For example,an image to be processed includes a photo showing a girl who laughs  aloud on a meadow under the sun.After an image processing application on a  terminal analyzes the opened image to be processed,feature attributes,including a  gender attribute and an expression attribute,are obtained.The gender is female and  the expression is a joyful expression.In another example,an image to be processed  includes a photo of a girl in a bar with dim lighting.After an image processing  application in a terminal analyzes the opened image to be processed,the feature  attributes,including a gender attribute and an expression attribute,are obtained.The  gender is female and the expression is a grim expression.
In one embodiment,when an image to be processed includes a scenery  image or an animal image,after an image processing application in a terminal  analyzes the opened image to be processed,the feature attributes,e.g.,an image type  attribute,are obtained.For example the image type is nature scenery.
In another embodiment,the process 204 includes:image processing data is  obtained according to the feature attributes.For example,according to the obtained  feature attributes,the terminal queries pre-stored feature attributes and pre-stored  image processing data associated with the pre-stored feature attributes on the terminal, and then obtains image processing data corresponding to the obtained feature  attributes.As an example,the obtained feature attributes include a gender attribute  and an expression attribute,where the gender attribute includes female,and the  expression attribute includes a joyful expression.Then the image processing data  corresponding to female and the image processing data corresponding to the joyful  expression are obtained.In some embodiments,the image processing data  corresponding to the female gender attribute are used for performing beautification  processing of the portrait on the image.In certain embodiments,the image processing  data corresponding to the joyful expression attribute are used for performing warm  color tone processing on the image.In some embodiments,the image processing data  corresponding to each feature attribute can be used for performing various different  processing on different aspects of the image.
In yet another embodiment,the process 205 includes:processing the image  to be processed according to the image processing data,and displaying the image after  processing.For example,the processing of the image to be processed according to  the image processing data includes:applying (e.g.,in sequence) one or more image  processing templates corresponding to the image processing data to the image to be  processed.As an example,when the beautification processing is performed on the  portrait of the image to be processed according to the image processing data  corresponding to a female gender attribute,the beautification processing includes  whitening processing on the skin in the portrait,removal of spots on the face in the  portrait,etc.As another example,when a warm color tone processing is performed  on the image to be processed according to the image processing data corresponding to  a joyful expression attribute,the color tone of the image to be processed is adjusted to  warm,so as to match the image closer to an original photo and obtain better image  effects.A user has a most appropriate beautification processing module for  processing the image without trying different filters in sequence and adjusts various  parameters,so that the user experience is vastly improved,according to some  embodiments.
According to one embodiment,the process 206 includes:receiving an  instruction from a user for manually adjusting the processed image.For example, when the user views the image effects after the beautification processing and  discovers that the effects of the image fail the user’sexpectation,the user is able to  manually adjust the image with other special effect filters or to adjust user-defined  parameters.As an example,the terminal receives instructions from the user to  manually adjust the image with other special effect filters or to adjust the user-defined  parameters.
According to another embodiment,the process 207 includes:adjusting the  processed image based on at least information associated with the instruction and  displaying the processed image after the adjustment.For example,if the image after  the adjustment still does not satisfy the user,the user is able to continue to adjust  manually.
Figure 3 is a simplified diagram showing a device for image processing  according to one embodiment of the present invention.The diagram is merely an  example,which should not unduly limit the scope of the claims.One of ordinary skill  in the art would recognize many variations,alternatives,and modifications.The  device 300 includes an opening unit 301,an analysis unit 302,an acquisition unit 303, a processing unit 304,and a displaying unit 305.
According to one embodiment,the opening unit 301 is configured to open  an image to be processed.For example,the opening unit 301 receives an instruction  from a user to open the image to be processed,and opens the image to be processed  according to the instruction.As an example,the image to be processed can be an  image saved on a storage device of a terminal.In another example,the image to be  processed can be a self-portrait image,a scenery image,an animal image,etc.
According to another embodiment,the analysis unit 302 is configured to  analyze the image to be processed and obtain one or more feature attributes of the  image to be processed.For example,the analysis unit 302 analyzes the image content, the image style,and/or the expression of people of the image to be processed.As an  example,the image content includes a picture displayed in the image.As another  example,the image content includes a portrait image,a scenery image,an animal  image,etc.As yet another example,the image style includes an overall color tone  displayed in the image.For example,if a photo is taken in a dimly-lit location,such  as a bar,then the displayed color tone in the image corresponds to a cold color tone. In another example,if a photo is taken on a sunny beach,then the displayed color tone  in the image corresponds to a warm color tone.In yet another example,the  expression of people includes a grim expression,a joyful expression,etc.In yet  another example,the feature attributes include an image type attribute,an exposure  attribute,a gender attribute,an expression attribute,etc.In another example,the  image type attribute includes a portrait type or a scenery type.
According to yet another embodiment,the acquisition unit 303 is  configured to obtain image processing data according to the feature attributes.For  example,the processing unit 304 is configured to process the image to be processed  according to the image processing data.In another example,at least one feature  attribute is obtained after the image to be processed is analyzed,and accordingly at  least one type of corresponding image processing data is obtained.In yet another  example,each type of image processing data corresponds to an image processing  template.In yet another example,the processing unit 304 is configured to:apply at  least one image processing template corresponding to the image processing data to the  image to be processed in sequence.In yet another example,the displaying unit 305 is  configured to display the image after processing.The device 300 is configured to  execute the method 100,according to some embodiments.
Figure 4 is a simplified diagram showing a device for image processing  according to another embodiment of the present invention.The diagram is merely an  example,which should not unduly limit the scope of the claims.One of ordinary skill  in the art would recognize many variations,alternatives,and modifications.The  device 300 further includes a saving unit 306,a reception unit 307,and an adjusting  unit 308.
According to one embodiment,before the opening unit 301 opens the  image to be processed,the saving unit 306 is configured to save the feature attributes  and the image processing data corresponding to the feature attributes,and the image  processing data can be utilized for processing the image afterwards.As an example, the processing unit 304 is configured to analyze the image to be processed according  to the image processing data.As another example,the displaying unit 305 displays  the processed image.For example,when the user reviews the processed image,and  finds out that the image effects fail the user expectations,the reception unit 307 is  configured to receive an instruction from the user for manually adjusting the  processed image.In another example,the adjusting unit 308 is configured to adjust  the processed image according to the instruction,and the displaying unit 305 is further  configured to display the processed image after readjustment.The device 400 is  configured to execute the method 200,according to some embodiments.
According to another embodiment,a method is provided for image  processing.For example,an image to be processed is opened；the image is analyzed  to obtain one or more feature attributes of the image；image processing data is  obtained based on at least information associated with the feature attributes；the image  is processed based on at least information associated with the image processing data； and the processed image is displayed.For example,the method is implemented  according to at least Figure 1 and/or Figure 2.
According to another embodiment,an image processing device includes: an opening unit configured to open an image to be processed；an analysis unit  configured to analyze the image to obtain one or more feature attributes of the image； an acquisition unit configured to obtain image processing data based on at least  information associated with the feature attributes；a processing unit configured to  process the image based on at least information associated with the image processing  data；and a displaying unit configured to display the processed image.For example, the device is implemented according to at least Figure 3 and/or Figure 4.
According to yet another embodiment,a non-transitory computer readable  storage medium includes programming instructions for image processing.The  programming instructions are configured to cause one or more data processors to  execute certain operations.For example,an image to be processed is opened；the  image is analyzed to obtain one or more feature attributes of the image；image  processing data is obtained based on at least information associated with the feature  attributes；the image is processed based on at least information associated with the  image processing data；and the processed image is displayed.For example,the  storage medium is implemented according to at least Figure 1 and/or Figure 2.
The above only describes several scenarios presented by this invention, and the description is relatively specific and detailed,yet it cannot therefore be  understood as limiting the scope of this invention.It should be noted that ordinary  technicians in the field may also,without deviating from the invention’sconceptual  premises,make a number of variations and modifications,which are all within the  scope of this invention.As a result,in terms of protection,the patent claims shall  prevail.
For example,some or all components of various embodiments of the  present invention each are,individually and/or in combination with at least another  component,implemented using one or more software components,one or more  hardware components,and/or one or more combinations of software and hardware  components.In another example,some or all components of various embodiments of  the present invention each are,individually and/or in combination with at least  another component,implemented in one or more circuits,such as one or more analog  circuits and/or one or more digital circuits.In yet another example,various  embodiments and/or examples of the present invention can be combined.
Additionally,the methods and systems described herein may be  implemented on many different types of processing devices by program code  comprising program instructions that are executable by the device processing  subsystem.The software program instructions may include source code,object code, machine code,or any other stored data that is operable to cause a processing system to  perform the methods and operations described herein.Other implementations may  also be used,however,such as firmware or even appropriately designed hardware  configured to perform the methods and systems described herein.
The systems’and methods’data (e.g.,associations,mappings,data input, data output,intermediate data results,final data results,etc.) may be stored and  implemented in one or more different types of computer-implemented data stores, such as different types of storage devices and programming constructs (e.g.,RAM, ROM,Flash memory,flat files,databases,programming data structures,programming  variables,IF-THEN (or similar type) statement constructs,etc.).It is noted that data  structures describe formats for use in organizing and storing data in databases, programs,memory,or other computer-readable media for use by a computer program.
The systems and methods may be provided on many different types of  computer-readable media including computer storage mechanisms (e.g.,CD-ROM, diskette,RAM,flash memory,computer’shard drive,etc.) that contain instructions  (e.g.,software) for use in execution by a processor to perform the methods’operations  and implement the systems described herein.The computer components,software  modules,functions,data stores and data structures described herein may be connected  directly or indirectly to each other in order to allow the flow of data needed for their  operations.It is also noted that a module or processor includes but is not limited to a  unit of code that performs a software operation,and can be implemented for example  as a subroutine unit of code,or as a software function unit of code,or as an object (as  in an object-oriented paradigm),or as an applet,or in a computer script language,or  as another type of computer code.The software components and/or functionality may  be located on a single computer or distributed across multiple computers depending  upon the situation at hand.
The computing system can include client devices and servers.A client  device and server are generally remote from each other and typically interact through  a communication network.The relationship of client device and server arises by  virtue of computer programs running on the respective computers and having a client  device-server relationship to each other.
This specification contains many specifics for particular embodiments. Certain features that are described in this specification in the context of separate  embodiments can also be implemented in combination in a single embodiment. Conversely,various features that are described in the context of a single embodiment  can also be implemented in multiple embodiments separately or in any suitable  subcombination.Moreover,although features may be described above as acting in  certain combinations,one or more features from a combination can in some cases be  removed from the combination,and a combination may,for example,be directed to a  subcombination or variation of a subcombination.
Similarly,while operations are depicted in the drawings in a particular  order,this should not be understood as requiring that such operations be performed in  the particular order shown or in sequential order,or that all illustrated operations be  performed,to achieve desirable results.In certain circumstances,multitasking and  parallel processing may be advantageous.Moreover,the separation of various system  components in the embodiments described above should not be understood as  requiring such separation in all embodiments,and it should be understood that the  described program components and systems can generally be integrated together in a  single software product or packaged into multiple software products.
Although specific embodiments of the present invention have been  described,it is understood by those of skill in the art that there are other embodiments  that are equivalent to the described embodiments.Accordingly,it is to be understood  that the invention is not to be limited by the specific illustrated embodiments,but only  by the scope of the appended claims.

Claims (14)

  1. A method for image processing comprising:
    opening an image to be processed；
    analyzing the image to obtain one or more feature attributes of the image；
    obtaining image processing data based on at least information associated with  the feature attributes；
    processing the image based on at least information associated with the image  processing data；and
    displaying the processed image.
  2. The method of claim 1,wherein the analyzing the image to obtain one  or more feature attributes of the image includes:
    analyzing image content,image style,or expression of people associated with  the image to obtain the feature attributes.
  3. The method of claim 1,wherein:
    the feature attributes include one or more of the following:an image type  attribute,an exposure attribute,a gender attribute,and an expression attribute；and
    the image type attribute includes a portrait type or a scenery type.
  4. The method of claim 3,wherein:
    the image processing data corresponds to one or more image processing  templates；
    the processing the image based on at least information associated with the  image processing data includes:
    applying the one or more image processing templates corresponding to  the image processing data to the image.
  5. The method of claim 1,further comprising:
    saving the feature attributes and the image processing data corresponding to  the feature attributes.
  6. The method of any of claims 1-5,further comprising:
    receiving an instruction from a user for manually adjusting the processed  image；
    adjusting the processed image based on at least information associated with  the instruction；and
    displaying the processed image after the adjustment.
  7. An image processing device comprising:
    an opening unit configured to open an image to be processed；
    an analysis unit configured to analyze the image to obtain one or more feature  attributes of the image；
    an acquisition unit configured to obtain image processing data based on at  least information associated with the feature attributes；
    a processing unit configured to process the image based on at least information  associated with the image processing data；and
    a displaying unit configured to display the processed image.
  8. The device of claim 7,wherein the analysis unit is configured to:
    analyze image content,image style,or expression of people associated with  the image to obtain the feature attributes.
  9. The device of claim 7,wherein,
    the feature attributes include one or more of the following:an image type  attribute,an exposure attribute,a gender attribute,and an expression attribute；and
    the image type attribute includes a portrait type or a scenery type.
  10. The device of claim 9,wherein:
    the image processing data corresponds to one or more image processing  templates；
    the processing unit is configured to:
    the one or more image processing templates corresponding to the  image processing data to the image.
  11. The device of claim 7,further comprising:
    a saving unit configured to save the feature attributes and the image processing  data corresponding to the feature attributes.
  12. The device of any of claims 7-11,further comprising:
    a reception unit configured to receive an instruction from a user for manually  adjusting the processed image；and
    an adjusting unit configured to adjust the processed image based on at least  information associated with the instruction；
    wherein the displaying unit is further configured to display the processed  image after the adjustment.
  13. The device of claim 7,further comprising:
    one or more data processors；and
    a computer-readable storage medium；
    wherein one or more of the opening unit,the opening unit,the acquisition unit, the processing unit and the displaying unit are stored in the storage medium and  configured to be executed by the one or more data processors.
  14. A non-transitory computer readable storage medium comprising  programming instructions for image processing,the programming instructions  configured to cause one or more data processors to execute operations comprising:
    opening an image to be processed；
    analyzing the image to obtain one or more feature attributes of the image；
    obtaining image processing data based on at least information associated with  the feature attributes；
    processing the image based on at least information associated with the image  processing data；and
    displaying the processed image.
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