WO2016145830A1

WO2016145830A1 - Image processing method, terminal and computer storage medium

Info

Publication number: WO2016145830A1
Application number: PCT/CN2015/091737
Authority: WO
Inventors: 唐杰
Original assignee: 中兴通讯股份有限公司
Priority date: 2015-08-19
Filing date: 2015-10-12
Publication date: 2016-09-22
Also published as: CN106469291A

Abstract

Disclosed in embodiments of the present invention are an image processing method, terminal and computer storage medium. The method comprises: obtaining at least one sub-image in an image, the at least one sub-image comprising a human face and respectively corresponding to at least one human face in the image; obtaining an input instruction, and performing image processing on the human face in the corresponding sub-image according to the input instruction.

Description

Image processing method, terminal and computer storage medium

Technical field

The present invention relates to the field of data processing technologies, and in particular, to an image processing method, a terminal, and a computer storage medium.

Background technique

With the development of computer technology, the terminal can perform image beautification processing on the collected image, that is, beauty technology. At present, the beauty technology basically performs the same degree of beauty treatment on all faces in the image, that is, the beauty effect is the same for each face in the image, and when the user sets the beauty level, it will be in the current image. All faces are treated with the same level of beauty, and they can not be treated separately according to the user's needs; for example, when several people take photos together, the user only wants to treat themselves or several of them separately, but not others. When people perform beauty treatment, the existing beauty technology can not meet the needs of users and reduce the user experience.

Summary of the invention

The embodiment of the present invention is to provide an image processing method, a terminal, and a computer storage medium, so as to perform facial treatment on a face that needs to be treated in the image according to the user's needs, and a face that does not require beauty treatment. No beauty treatment is performed to improve the user experience.

To achieve the above objective, the technical solution of the embodiment of the present invention is implemented as follows:

An embodiment of the present invention provides an image processing method, where the method includes:

Acquiring at least one sub-image including a human face in the image; wherein the at least one sub-image respectively corresponds to at least one human face in the image;

Obtaining an input instruction, and performing image processing on a face in the corresponding sub image according to the input instruction.

As an implementation manner, after acquiring at least one sub-image including a human face in an image, the method further includes:

Recognizing a face in the at least one sub-image, numbering the faces in the at least one sub-image according to a preset rule.

As an implementation manner, the obtaining an input instruction includes:

Obtaining input audio data, converting the audio data into an input instruction;

Correspondingly, the image processing of the face in the corresponding sub image according to the input instruction comprises:

And performing image beautification processing on the face in the corresponding sub image according to the input instruction, the face number, and the preset image processing corresponding rule.

As an implementation manner, the image beautifying the face in the corresponding sub-image according to the input instruction, the face number, and the preset image processing corresponding rule, including:

Obtaining, according to the number included in the input instruction, a face number matching the number, and determining a face in the sub-image corresponding to the face number as a face to be subjected to image beautification processing;

And obtaining, according to the image instructing processing instruction in the input instruction, a first processing rule corresponding to the image beautification processing instruction in the preset image processing corresponding rule, and performing the determined face according to the first processing rule. Image beautification.

As an embodiment, the image processing includes at least one of whitening processing, dermabrasion processing, large-eye proportional processing, and face-lift processing.

An embodiment of the present invention further provides an image processing terminal, where the terminal includes:

An acquiring module, configured to acquire at least one sub-image including a human face in an image; wherein the at least one sub-image respectively corresponds to at least one human face in the image;

And a processing module configured to obtain an input instruction, and perform image processing on the face in the corresponding sub image in the at least one sub image acquired by the acquiring module according to the input instruction.

As an implementation manner, the terminal further includes:

The identification module is configured to identify a face in the at least one sub-image, and number the faces in the at least one sub-image according to a preset rule.

In one embodiment, the processing module is configured to obtain input audio data, and convert the audio data into an input instruction; according to the input instruction, the face number of the at least one sub image by the identification module And the preset image processing corresponding rule performs image beautification processing on the face in the corresponding sub image.

In an embodiment, the processing module is configured to obtain a face number matching the number according to a number included in the input instruction, and determine a face in the sub-image corresponding to the face number as And a first processing rule corresponding to the image beautification processing instruction in the preset image processing corresponding rule, according to the first step, in accordance with the image beautification processing instruction included in the input instruction, A processing rule performs image beautification on the determined face.

The embodiment of the invention further provides a computer storage medium, wherein the computer storage medium stores computer executable instructions, and the computer executable instructions are configured to execute the image processing method according to the embodiment of the invention.

An image processing method, a terminal, and a computer storage medium according to an embodiment of the present invention, by acquiring at least one sub-image including a human face in an image; wherein the at least one sub-image respectively corresponds to at least one human face in the image; Obtaining an input instruction, and performing image processing on a face in the corresponding sub image according to the input instruction. In this way, the technical solution of the embodiment of the present invention is used to perform image beautification processing on a face that needs to be subjected to image beautification processing according to user requirements, thereby improving the operation experience of the user.

DRAWINGS

1 is a flowchart of Embodiment 1 of an image processing method according to the present invention;

2 is a flowchart of Embodiment 2 of an image processing method according to the present invention;

3 is a first schematic diagram showing a face displayed on a screen of a terminal according to Embodiment 2 of the image processing method of the present invention;

4 is a second schematic diagram of displaying a human face on a screen of a terminal according to Embodiment 2 of the image processing method of the present invention;

FIG. 5 is a flowchart of Embodiment 3 of an image processing method according to the present invention; FIG.

FIG. 6 is a schematic structural diagram of an embodiment of an image processing terminal according to the present invention.

detailed description

The technical solutions in the embodiments of the present invention will be clearly and completely described in the following with reference to the accompanying drawings.

1 is a flowchart of Embodiment 1 of an image processing method according to the present invention. As shown in FIG. 1, the method may include:

Step 101: Acquire at least one sub-image including a human face in an image; wherein the at least one sub-image respectively corresponds to at least one human face in the image.

The image processing method described in this embodiment is applied to a terminal; the terminal may be implemented in various forms. For example, the terminal described in the embodiment of the present invention may include, for example, a mobile phone, a smart phone, a notebook computer, and a digital broadcast receiving. Mobile terminals of personal computers, personal digital assistants (PDAs), tablet computers (PADs), portable multimedia players (PMPs), navigation devices, and the like; of course, the terminals may also be fixed terminals of digital televisions, desktop computers, and the like.

Here, the terminal acquires at least one sub-image including a human face in an image, and the image may be directly obtained through a camera framing interface of the terminal, or may be obtained by selecting an image from a picture storage area of the terminal. Or can be obtained in other ways to meet the different needs of users. Obtaining at least one sub-image including a human face in the image may be Recognizing a face in the image by a face recognition technology to obtain a sub-image including a human face; wherein the at least one sub-image respectively corresponds to at least one face in the image; it may be understood that the image There are N human faces, and correspondingly, N sub-images are obtained. Wherein, the face recognition technology is to identify and compare the face visual feature information for identity identification, and belongs to the biometric feature technology, which is a biological feature of the living body (generally referring to the person) itself to distinguish the living body individual; Face recognition technology has been applied in many fields, such as digital camera face autofocus and smile shutter technology; enterprise, residential security and management; access control system; camera monitoring system; commonly used face recognition algorithms include: based on face Feature-Based Recognition Algorithms, Appearance-Based Recognition Algorithms, Template-Based Recognition Algorithms, Algorithms for Recognition Using Neural Networks (Recognition Algorithms Using Neural Network) and the like, of course, are not limited to the face recognition algorithm described above. The face recognition technology described in this embodiment may employ any face recognition technology in the prior art, which is not described in the embodiment.

Step 102: Obtain an input instruction, and perform image processing on a face in the corresponding sub image according to the input instruction.

Here, after acquiring the at least one sub-image including the human face, the terminal prompts the user to select a face that is currently required to perform image processing. In the embodiment of the present invention, the terminal may obtain an input instruction by using various implementation manners:

The first embodiment: the terminal can perform image processing on a face in a corresponding sub-image through the obtained touch operation. As an application manner, after the at least one sub-image including the human face in the image is acquired in step 101, the prompt box of the at least one sub-image is displayed in the display screen of the terminal; the user may perform the first touch operation. (such as a click operation) determining a sub-image to be image-processed, and then performing corresponding image processing on a face in the corresponding sub-image through a second touch operation; the image processing rule may be pre-configured in the terminal, for example, when The second touch operation When the "○" gesture is operated, the whitening process of the face is performed correspondingly; when the second touch operation is the "△" gesture operation, the dermabrasion process of the face is performed correspondingly.

The second embodiment: the user can select a face that is currently required to perform image processing through sound input selection, and perform image processing on the determined face through sound input; wherein the sound may include continuous speech, knocking, whistle, etc. The image processing may be an image beautification process, and the image processing (ie, image beautification processing) may specifically include at least one of whitening processing, dermabrasion processing, large-eye proportional processing, and face-lift processing. Wherein, the whitening treatment is a whitening treatment on the human skin; the dermabraing treatment is a treatment for squeezing, wrinkling, and removing pores on the human skin to make the skin smooth and firm; the large eye The proportional processing is a process of scaling up the eyes; the face-lifting process is a process of scaling down the cheekbones of the face, and the like. The image beautification process in this embodiment can refer to any beauty treatment mode in the prior art, and details are not described herein again.

For example, if the terminal includes four faces in the acquired image, and the user wants to perform image beautification on the two faces, the user may first select one of the faces through the voice input to beautify and save the image. The effect is processed, and another face is beautified and the beauty effect is preserved; wherein the image or the degree of image beautification can be the same or different, so that the image can be realized. The faces in the image are processed separately.

The image processing method provided by the embodiment of the present invention determines that at least one sub-image including a human face in the image is input by the user through instruction input (not limited to inputting an instruction through a touch operation or inputting an audio data input instruction). The face that needs image processing separately performs image processing on the determined face; realizes image beautification processing on the face that needs image beautification in the image according to user requirements, and faces that do not need image beautification processing The image beautification process is not performed, which improves the user's operating experience.

An embodiment of the present invention further provides a computer storage medium, where the computer storage medium Computer executable instructions are stored, the computer executable instructions being configured to perform the image processing methods described in the embodiments of the present invention.

In order to further embodies the object of the present invention, further exemplification will be made on the basis of the above embodiments.

2 is a flowchart of Embodiment 2 of an image processing method according to the present invention. As shown in FIG. 2, the method may include:

Step 201: Acquire at least one sub-image including a human face in an image; wherein the at least one sub-image respectively corresponds to at least one human face in the image.

For example, when the user is taking a photo, the terminal may acquire a sub-image including a human face in the view interface of the terminal camera; or, when editing the picture, the user selects a picture from the picture library stored in the terminal to obtain the picture. Each of them contains a sub-image of a human face.

Step 202: Identify a face in the at least one sub-image, and number the faces in the at least one sub-image according to a preset rule.

Here, the terminal identifies the face in each of the sub-images, specifically, the face information in each sub-image is identified; the face information includes but is not limited to face position information, contour feature information, and color feature information. Etc.; the recognized faces are numbered according to preset rules, for example, from left to right, or from front to back, or from large to small. After the numbering is completed, the user can be notified in a specific manner (for example, the number corresponding to the face can be displayed through the display screen, or the number corresponding to the face can be output by voice, etc.); wherein the preset numbering rule in this embodiment can be based on the user. The requirements are set, here is an example to illustrate.

3 is a first schematic diagram of displaying a human face on a terminal screen according to Embodiment 2 of the image processing method of the present invention, and FIG. 4 is a second schematic diagram of displaying a human face on a terminal screen according to Embodiment 2 of the image processing method of the present invention; As shown in FIG. 4, the terminal recognizes five faces in the image displayed on the screen, and numbers five faces according to a preset numbering rule; wherein the preset numbering rule is Faces appearing in the image in order from the user's left hand side to the right hand side when the user faces the screen are numbered starting from 1.

Specifically, when the terminal screen adopts the vertical screen display mode, as shown in FIG. 3, the five faces are sequentially numbered from the left-hand side to the right-hand side of the user (the direction of the arrow in FIG. 3). The number from the left hand side to the right hand side is 1, 2, 3, 4, 5; when the terminal screen adopts the horizontal screen display mode, as shown in Figure 4, the order from the user's left hand side to the right hand side (Figure 4 The directions of the arrows are sequentially numbered for five faces, which are numbered 1, 2, 3, 4, and 5 from the left hand side to the right hand side.

Step 203: Obtain input audio data, convert the audio data into an input instruction, and perform image beautification processing on the face in the corresponding sub-image according to the input instruction, the face number, and the preset image processing corresponding rule.

Here, the terminal prompts (for example, by voice prompting) the user's current face number after numbering the face in the image. Further, the user inputs voice information through the microphone of the terminal; then the terminal obtains audio data. In this embodiment, the obtained audio data includes at least first audio data, and the first audio data represents a face number, or a face corresponding to the face number. The user inputs the first audio data, and after the terminal acquires the first audio data of the user, the image is processed in the selected image corresponding to the input instruction corresponding to the first audio data according to a preset preset image processing corresponding rule. The face is separately processed by the image.

The image processing correspondence rule may be stored in a terminal in a form of a table, and the user may set the image processing corresponding rule according to his own needs. Take the example shown in the image processing correspondence rule in Table 1. After the terminal numbers the faces in the image, the terminal can prompt the user to “current face number completion” through voice output. At this time, assume that the user wants to perform image beautification on the faces of number 2 and number 3 in the current image. , the voice "Wang Er" can be input to the terminal, and the voice "Li San" is input to the terminal after the first unit time (for example, 1 second); after the terminal determines that the input voice is completed, the audio data "Wang Er" will be obtained. And "Li San" and the images shown in Table 1 The corresponding rules are processed to match, and the face No. 2 corresponding to "Wang Er" is subjected to beautifying the image with a whitening degree of 10%, a large eye ratio of 20%, and a face-lifting degree of 13%; the No. 3 face corresponding to "Li San" is performed. Image landscaping with a degree of dermabrasion of 31% and a large eye ratio of 40%. Further, after the terminal finishes processing the face to be in need of the image beautification process in the image, the user prompts the user to “current image beautification processing has been completed”. The first unit time can be set according to the needs of the user, which is not limited herein.

Table 1

Step 204: The user saves the processed image.

Here, after the terminal issues a prompt message indicating that “the current image beautification process has been completed”; When the terminal is in the photographing state, the user can press the camera button or take a photo control to save the image after the image is beautified; when the terminal is in the image editing state, the user can beautify the image after the image is processed. The image is saved.

The image processing method provided by the embodiment of the invention implements image beautification processing on a face that needs to be subjected to image beautification processing according to user requirements, and does not perform image beautification processing on a face that does not require image beautification processing. Users can control the process of image beautification through voice, which enhances the user's operating experience.

FIG. 5 is a flowchart of Embodiment 3 of an image processing method according to the present invention. As shown in FIG. 5, the method may include:

Step 301: Acquire at least one sub-image including a human face in the image; wherein the at least one sub-image respectively corresponds to at least one human face in the image.

Step 302: Identify a face in the at least one sub-image, and number the faces in the at least one sub-image according to a preset rule.

Here, the terminal identifies the face in each of the sub-images, specifically, the face information in each sub-image is identified; the face information includes but is not limited to face position information, contour feature information, and color feature information. Etc.; the recognized faces are numbered according to preset rules, for example, from left to right, or from front to back, or from large to small. After the numbering is completed, the user can be notified in a specific manner (for example, the number corresponding to the face can be displayed through the display screen, or the number corresponding to the face can be output by voice, etc.); The preset numbering rule in this embodiment can be set according to the needs of the user. Specifically, the numbering of the face in the at least one sub-image according to the preset rule may be referred to in step 202, and details are not described herein again.

Step 303: Obtain a face number matching the number according to the number included in the input instruction, and determine a face in the sub-image corresponding to the face number as a face to be subjected to image beautification processing.

Here, the terminal prompts (for example, by voice prompting) the user's current face number after numbering the face in the image. Further, the user inputs voice information through the microphone of the terminal; then the terminal obtains audio data. In this embodiment, the obtained audio data includes at least second audio data and third audio data; the second audio data represents a face number, or a face corresponding to a face number; and the third audio data represents a corresponding The way the image is processed. The user inputs the second audio data; after acquiring the second audio data of the user, the terminal selects the image corresponding to the input instruction corresponding to the second audio data according to the preset second image processing corresponding rule. face.

The second image processing correspondence rule may be stored in a terminal in a form of a table, and the user may set the second image processing corresponding rule according to a requirement of the user. Take the example shown in the second image processing correspondence rule in Table 2 as an example. After the number of the face in the image is numbered, the terminal may prompt the user through the voice output that “the current face number is completed, please input a face recognition instruction that requires image beautification processing”; at this time, assume that the user wants to view the current image. If the faces of No. 1, No. 2, and No. 4 are subjected to image beautification, the voice "1" can be input to the terminal, and after the second unit time (for example, 1 second), the voice "2" is input to the terminal, in the second unit. After the time (for example, 1 second), the voice "4" is input to the terminal; after determining that the voice input is completed, the terminal obtains the audio data "1", "2", and "4" and the preset second image processing corresponding rule. Perform matching to determine the faces of number 1, number 2, and number 4 that the user needs to beautify the image, and notify the user of the image beautification by voice prompt information (for example, "currently determined faces 1, 2, and 4") completed. The second unit time can be set according to the needs of the user, which is not limited herein.

第二音频数据Second audio data	人脸编号Face number
11	11
22	22
33	33
44	44
55	55
…...	…...

Table 2

Step 304: Obtain a first processing rule corresponding to the image beautification processing instruction in the preset image processing corresponding rule according to the image beautification processing instruction in the input instruction, and determine the first processing rule according to the first processing rule The face is imaged and treated.

In this embodiment, after determining the face that needs image beautification processing in the image and notifying the user, the terminal prompts the user to continue inputting the voice instruction, that is, inputting the third audio data; the terminal acquires the third audio data of the user. The image beautification processing is performed on the face that has been determined in step 303 in accordance with the preset third image processing correspondence rule.

The third image processing correspondence rule may be stored in a terminal in a form of a table, and the user may set the third image processing corresponding rule according to a requirement of the user. Take the third image processing correspondence rule in Table 3 as an example. This step is explained with reference to the example in step 303. After determining the face number 1 , number 2 and number 4 of the image that needs to be processed in the image and notifying the user, the terminal may notify the user to continue to input the voice through the voice prompt information (for example, “continue input image beautification processing instruction”). In this case, it is assumed that the user wants to perform the same degree of beauty processing on the face numbered 1 and number 2 in the image, and the face of the number 4 performs the image beautification processing of the degree B, that is, input to the terminal first. Voice "A" in the third unit time (for example 1 Secondly, the voice "A" is input to the terminal, and after the third unit time (for example, 1 second), the voice "B" is input to the terminal; after determining that the voice input is completed, the terminal obtains the audio data "A". , "A" and "B" are matched with the preset third image processing corresponding rule, and it is determined that the face number of the number 1 and the number 2 is 10%, the large eye ratio is 10%, and the face length is 10%. The image is beautified, and the number of the face of the number 4 is 20% whitening, the degree of dermabrasion is 20%, the ratio of the big eye is 20%, and the face of the face is 20%, and the message is presented by voice ("already The faces of 1, 2, and 4 are processed separately.) The user is notified that the image beautification process has been completed. The third unit time can be set according to the needs of the user, and is not limited herein.

table 3

Step 305: The user saves the processed image.

Here, after the terminal issues a prompt message indicating that “the current image beautification process has been completed”; when the terminal is in the photographing state, the user can press the photographing button or take a photo control to perform photographing and save the image after the image beautification processing; When the terminal is in the picture editing state, the user can save the image after the image beautification process.

FIG. 6 is a schematic structural diagram of an embodiment of an image processing terminal according to the present invention. As shown in FIG. 6, the image processing terminal 06 of the present invention may include: an obtaining module 061 and a processing module 062;

The acquiring module 061 is configured to acquire at least one sub-image including a human face in an image, where the at least one sub-image respectively corresponds to at least one human face in the image;

The processing module 062 is configured to obtain an input instruction, and perform image processing on a face in a corresponding sub-image of the at least one sub-image acquired by the acquiring module according to the input instruction.

As an implementation manner, the terminal further includes: an identification module 063;

The identification module 063 is configured to identify a face in the at least one sub-image, and number the faces in the at least one sub-image according to a preset rule.

Further, the processing module 062 is configured to obtain input audio data, and convert the audio data into an input instruction; according to the input instruction, the face number and pre-preparation performed by the identification module on the at least one sub-image The image processing corresponding rule is used to perform image beautification processing on the face in the corresponding sub image.

Further, the processing module 062 is configured to obtain a face number matching the number according to the number included in the input instruction, and determine a face in the sub-image corresponding to the face number as to be performed And a first processing rule corresponding to the image beautification processing instruction in the preset image processing corresponding rule, according to the first processing, according to the image rendering processing instruction included in the input instruction, The rule performs image beautification on the determined face.

In this embodiment, the image processing includes at least one of whitening processing, dermabrasion processing, large-eye proportional processing, and face-lift processing.

A person skilled in the art should understand that the functions of the processing modules in the terminal of the embodiment of the present invention can be understood by referring to the related description of the foregoing image processing method, and the processing modules in the terminal of the embodiment of the present invention can implement the embodiments of the present invention. The function of the analog circuit is implemented, and can also be implemented by running the software of the function described in the embodiment of the present invention on the smart terminal.

In an actual application, the obtaining module 061, the processing module 062, and the identifying module 063 may be a central processing unit (CPU), a microprocessor (MPU), a digital signal processor (DSP), or a field programmable gate array located on the terminal. (FPGA) and other device implementations.

Those skilled in the art will appreciate that embodiments of the present invention can be provided as a method, system, or computer program product. Accordingly, the present invention can take the form of a hardware embodiment, a software embodiment, or a combination of software and hardware. Moreover, the present invention may employ computer-usable storage media (including but not limited to disks) in one or more of the computer-usable program code embodied therein. A form of computer program product embodied on a memory and optical storage, etc.).

The present invention has been described with reference to flowchart illustrations and/or block diagrams of methods, apparatus (system), and computer program products according to embodiments of the invention. It will be understood that each flow and/or block of the flowchart illustrations and/or FIG. These computer program instructions can be provided to a processor of a general purpose computer, special purpose computer, embedded processor, or other programmable data processing device to produce a machine for the execution of instructions for execution by a processor of a computer or other programmable data processing device. Means for implementing the functions specified in one or more of the flow or in a block or blocks of the flow chart.

The computer program instructions can also be stored in a computer readable memory that can direct a computer or other programmable data processing device to operate in a particular manner, such that the instructions stored in the computer readable memory produce an article of manufacture comprising the instruction device. The apparatus implements the functions specified in one or more blocks of a flow or a flow and/or block diagram of the flowchart.

These computer program instructions can also be loaded onto a computer or other programmable data processing device such that a series of operational steps are performed on a computer or other programmable device to produce computer-implemented processing for execution on a computer or other programmable device. The instructions provide steps for implementing the functions specified in one or more of the flow or in a block or blocks of a flow diagram.

The above is only the preferred embodiment of the present invention and is not intended to limit the scope of the present invention.

Industrial applicability

The embodiment of the present invention acquires at least one sub-image including a human face in an image; wherein the at least one sub-image respectively corresponds to at least one human face in the image; obtaining an input instruction, corresponding to the input instruction according to the input instruction The face in the sub image is image processed. In this way, the technical solution of the embodiment of the present invention is used to realize image beautification in an image according to user requirements. The processed face is subjected to image beautification processing, which improves the user's operating experience.

Claims

An image processing method, the method comprising:

Acquiring at least one sub-image including a human face in the image; wherein the at least one sub-image respectively corresponds to at least one human face in the image;

Obtaining an input instruction, and performing image processing on a face in the corresponding sub image according to the input instruction.
The method according to claim 1, wherein after acquiring at least one sub-image including a human face in the image, the method further comprises:

Recognizing a face in the at least one sub-image, numbering the faces in the at least one sub-image according to a preset rule.
The method of claim 2 wherein said obtaining an input instruction comprises:

Obtaining input audio data, converting the audio data into an input instruction;

Correspondingly, the image processing of the face in the corresponding sub image according to the input instruction comprises:

And performing image beautification processing on the face in the corresponding sub image according to the input instruction, the face number, and the preset image processing corresponding rule.
The method according to claim 3, wherein the image beautifying the face in the corresponding sub-image according to the input instruction, the face number and the preset image processing corresponding rule comprises:

Obtaining, according to the number included in the input instruction, a face number matching the number, and determining a face in the sub-image corresponding to the face number as a face to be subjected to image beautification processing;

And obtaining, according to the image instructing processing instruction in the input instruction, a first processing rule corresponding to the image beautification processing instruction in the preset image processing corresponding rule, and performing the determined face according to the first processing rule. Image beautification.
The method according to claim 1, wherein the image processing comprises at least one of whitening processing, dermabrasion processing, large-eye proportional processing, and face-lift processing.
An image processing terminal, the terminal comprising:

An acquiring module, configured to acquire at least one sub-image including a human face in an image; wherein the at least one sub-image respectively corresponds to at least one human face in the image;

And a processing module configured to obtain an input instruction, and perform image processing on the face in the corresponding sub image in the at least one sub image acquired by the acquiring module according to the input instruction.
The terminal of claim 6, wherein the terminal further comprises:

The identification module is configured to identify a face in the at least one sub-image, and number the faces in the at least one sub-image according to a preset rule.
The terminal according to claim 7, wherein the processing module is configured to obtain input audio data, convert the audio data into an input instruction, and according to the input instruction, the identification module pairs the at least one sub-image The performed face number and the preset image processing correspondence rule perform image beautification processing on the face in the corresponding sub image.
The terminal according to claim 8, wherein the processing module is configured to obtain a face number matching the number according to a number included in the input instruction, and to use the face number corresponding to the face number The face is determined as a face to be subjected to image beautification processing; and the first processing rule corresponding to the image beautification processing instruction in the preset image processing correspondence rule is obtained according to the image instructing processing instruction included in the input instruction And performing image beautification processing on the determined face according to the first processing rule.
The terminal according to claim 6, wherein the image processing comprises at least one of whitening processing, dermabrasion processing, large-eye proportional processing, and face-lift processing.
A computer storage medium having computer executable instructions stored thereon, the computer executable instructions being configured to perform the image processing method of any one of claims 1 to 5.