CN107392841A - Method, device and terminal for eliminating dark circles in human face area - Google Patents

Abstract

The invention provides a method, a device and a terminal for eliminating black eye circles in a face area, wherein the method comprises the steps of obtaining a skin area of the face area; extracting the brightness information of each pixel point in the skin area, and determining a black eye area based on the brightness information of each pixel point; and eliminating the black eye area based on the brightness information of the face area so as to eliminate the black eye in the face area. The method and the device can effectively improve the elimination effect of the black eye circles and improve the visual impression of the picture.

Description

Method, device and terminal for eliminating dark circles in human face area

technical field

The present invention relates to the technical field of image processing, in particular to a method, device and terminal for eliminating dark circles in a human face area.

Background technique

With the development of image processing technology, it is necessary to eliminate the dark circle area of the face in the picture.

Contents of the invention

The present invention aims to solve one of the technical problems in the related art at least to a certain extent.

Therefore, an object of the present invention is to propose a method for eliminating dark circles in the face area, which can effectively improve the effect of eliminating dark circles and improve the visual perception of pictures.

Another object of the present invention is to provide a device for eliminating dark circles in the face area.

The third object of the present invention is to provide a device for eliminating dark circles in the face area.

A fourth object of the present invention is to provide a non-transitory computer-readable storage medium.

A fifth object of the present invention is to provide a computer program product.

The sixth object of the present invention is to provide a terminal.

In order to achieve the above purpose, the method for eliminating dark circles in the face area proposed by the embodiment of the first aspect of the present invention includes: acquiring the skin area of the face area; extracting the brightness information of each pixel in the skin area, and based on the obtained The brightness information of each pixel is used to determine the dark circle area; based on the brightness information of the face area, the dark circle area is eliminated, so as to eliminate the dark circles in the face area.

The method for eliminating dark circles in the face area proposed by the embodiment of the first aspect of the present invention obtains the skin area of the face area, extracts the brightness information of each pixel in the skin area, and determines the black circle based on the brightness information of each pixel. The eye circle area and the black eye area are eliminated based on the brightness information of the face area to eliminate the dark circles in the face area, which can effectively improve the effect of removing dark circles and improve the visual perception of the picture.

In order to achieve the above purpose, the device for eliminating dark circles in the face area proposed by the embodiment of the second aspect of the present invention includes: a skin area acquisition module, which is used to acquire the skin area of the face area; a dark circle area determination module, which is used to extract the skin area The brightness information of each pixel point in the skin area, and determine the dark circle area based on the brightness information of each pixel point; the black eye circle elimination module is used to analyze the dark circle area based on the brightness information of the human face area Elimination processing is performed to eliminate the dark circles in the face area.

The device for eliminating dark circles in the face area proposed by the embodiment of the second aspect of the present invention obtains the skin area of the face area, extracts the brightness information of each pixel in the skin area, and determines the black circle based on the brightness information of each pixel. The eye circle area and the black eye area are eliminated based on the brightness information of the face area to eliminate the dark circles in the face area, which can effectively improve the effect of removing dark circles and improve the visual perception of the picture.

In order to achieve the above purpose, the device for eliminating dark circles in the face area proposed by the embodiment of the third aspect of the present invention is characterized in that it includes: a processor; a memory for storing instructions executable by the processor; wherein the processor is controlled by It is configured to: obtain the skin area of the human face area; extract the brightness information of each pixel in the skin area, and determine the dark circle area based on the brightness information of each pixel; based on the brightness information of the human face area Perform elimination processing on the dark circle area, so as to eliminate dark circles in the human face area.

The device for eliminating dark circles in the face area proposed by the embodiment of the third aspect of the present invention obtains the skin area of the face area, extracts the brightness information of each pixel in the skin area, and determines the black circle based on the brightness information of each pixel. The eye circle area and the black eye area are eliminated based on the brightness information of the face area to eliminate the dark circles in the face area, which can effectively improve the effect of removing dark circles and improve the visual perception of the picture.

In order to achieve the above purpose, the embodiment of the fourth aspect of the present invention proposes a non-transitory computer-readable storage medium, when the instructions in the storage medium are executed by the processor of the terminal, the terminal can execute a face area A method for eliminating dark circles in the middle of the eyes, the method comprising: obtaining the skin area of the human face area; extracting the brightness information of each pixel in the skin area, and determining the dark circle area based on the brightness information of each pixel; The luminance information of the human face area performs elimination processing on the dark circle area, so as to eliminate the dark circles in the human face area.

The non-transitory computer-readable storage medium proposed by the embodiment of the fourth aspect of the present invention obtains the skin area of the face area, extracts the brightness information of each pixel in the skin area, and determines the black color based on the brightness information of each pixel. The eye circle area and the black eye area are eliminated based on the brightness information of the face area to eliminate the dark circles in the face area, which can effectively improve the effect of removing dark circles and improve the visual perception of the picture.

In order to achieve the above object, the embodiment of the fifth aspect of the present invention proposes a computer program product. When the instructions in the computer program product are executed by the processor, a method for eliminating dark circles in the face area is executed. The method The method includes: obtaining the skin area of the human face area; extracting the brightness information of each pixel in the skin area, and determining the dark circle area based on the brightness information of each pixel; The black eye area is eliminated, so as to eliminate the dark circles in the human face area.

The computer program product proposed by the embodiment of the fifth aspect of the present invention obtains the skin area of the human face area, extracts the brightness information of each pixel in the skin area, and determines the dark circle area based on the brightness information of each pixel, and based on The luminance information of the face area performs elimination processing on the dark circle area to eliminate the dark circles in the face area, which can effectively improve the elimination effect of the dark circle and improve the visual perception of the picture.

To achieve the above object, the sixth aspect of the present invention also proposes a terminal, which includes a housing, a processor, a memory, a circuit board, and a power supply circuit, wherein the circuit board is placed inside the space enclosed by the housing , the processor and the memory are arranged on the circuit board; the power supply circuit is used to supply power to each circuit or device of the terminal; the memory is used to store executable program codes; the processor Run the program corresponding to the executable program code by reading the executable program code stored in the memory, so as to perform: acquiring the skin area of the human face area; extracting the value of each pixel in the skin area Brightness information, and determine the dark circle area based on the brightness information of each pixel point; based on the brightness information of the human face area, the dark circle area is eliminated, so as to perform black eye circles in the human face area eliminate.

The terminal proposed in the embodiment of the sixth aspect of the present invention obtains the skin area of the face area, extracts the brightness information of each pixel in the skin area, and determines the dark circle area based on the brightness information of each pixel, and based on the face The brightness information of the area performs elimination processing on the dark circle area to eliminate the dark circle in the face area, which can effectively improve the elimination effect of the dark circle and improve the visual perception of the picture.

Additional aspects and advantages of the invention will be set forth in part in the description which follows, and in part will be obvious from the description, or may be learned by practice of the invention.

Description of drawings

The above and/or additional aspects and advantages of the present invention will become apparent and easy to understand from the following description of the embodiments in conjunction with the accompanying drawings, wherein:

Fig. 1 is a schematic flow chart of a method for eliminating dark circles in the face area proposed by an embodiment of the present invention;

Fig. 2 is a schematic flow chart of a method for eliminating dark circles in the face area proposed by another embodiment of the present invention;

Fig. 3 is a schematic diagram of the eye area in an embodiment of the present invention;

Fig. 4 is a schematic diagram of a preset range including the eye area in an embodiment of the present invention;

Fig. 5 is a schematic flow chart of a method for eliminating dark circles in the face area proposed by another embodiment of the present invention;

Fig. 6 is a schematic flowchart of a method for eliminating dark circles in the face area proposed by another embodiment of the present invention;

Fig. 7 is a schematic structural diagram of a device for eliminating dark circles in the face area proposed by an embodiment of the present invention;

Fig. 8 is a schematic structural diagram of a device for eliminating dark circles in the face area proposed by another embodiment of the present invention;

Fig. 9 is a schematic structural diagram of a terminal proposed by an embodiment of the present invention.

detailed description

Embodiments of the present invention are described in detail below, examples of which are shown in the drawings, wherein the same or similar reference numerals designate the same or similar elements or elements having the same or similar functions throughout. The embodiments described below by referring to the figures are exemplary only for explaining the present invention and should not be construed as limiting the present invention. On the contrary, the embodiments of the present invention include all changes, modifications and equivalents coming within the spirit and scope of the appended claims.

FIG. 1 is a schematic flowchart of a method for eliminating dark circles in a face area proposed by an embodiment of the present invention.

The embodiments of the present invention may be applied in the process of the user beautifying the pictures taken by the terminal, or may also be applied in the process of the user beautifying the pictures taken by the camera, without limitation.

Further, the user can eliminate the dark circles under the eyes in the face area in the picture through the image beautification application program set in the terminal.

Wherein, the application program may refer to a software program running on an electronic device, such as a personal computer (Personal Computer, PC), a cloud device, or a mobile device, such as a smart phone, or a tablet computer. The terminal may be a hardware device with various operating systems, such as a smart phone, a tablet computer, a personal digital assistant, and an e-book, without limitation.

It should be noted that the execution subject of the embodiment of the present invention may be, for example, the central processing unit (Central Processing Unit, CPU) of the terminal in terms of hardware, and may be, for example, related services of image beautification in the terminal in terms of software. No limit.

Referring to Figure 1, the method includes:

S11: Acquire the skin area of the face area.

It can be understood that, in general, the brightness values of the teeth and whites of the eyes in the human face area are larger than the brightness values of the skin area. Therefore, in the embodiment of the present invention, in order to avoid the For the influence of the white part of the eyes, the skin area of the face area can be extracted first, which can retain the detailed information of the face area, reduce the amount of calculation, and improve the elimination efficiency.

For example, the face recognition algorithm in the related art may be used to segment the skin area from the face area, which is not limited.

S12: Extract brightness information of each pixel in the skin area, and determine a dark circle area based on the brightness information of each pixel.

Optionally, referring to FIG. 2, S12 may include:

S21: Determine the eye area in the face area.

In an embodiment of the invention, the eye region is an eye part.

Referring to FIG. 3 , FIG. 3 is a schematic diagram of an eye area in an embodiment of the present invention, including: an eye area 31 .

By first determining the eye area in the face area, it can support the subsequent rapid positioning of the dark circle area based on the eye area, without traversing the entire skin area to determine the dark circle area, effectively reducing the computing consumption of the terminal and improving the elimination efficiency.

S22: Within the preset range including the eye area, determine among all the pixel points within the preset range, the pixel points whose luminance information is less than or equal to at least one of the preset luminance thresholds.

Wherein, the preset range may be an area range in which dark circles of the portrait may appear.

Further, the unit of the preset range may be the number of pixels. For example, the number of pixels included in the preset range including the eye area is 100, which is not limited.

Furthermore, the preset range can be preset by the factory program of the terminal, or the preset range can also be set by the provider of related image beautification services according to their own needs, which effectively improves the flexibility of method configuration.

Referring to FIG. 4 , FIG. 4 is a schematic diagram of a preset range including the eye area in an embodiment of the present invention, including: a preset range 41 .

In the embodiment of the present invention, by determining the dark circle area within the preset range including the eye area, the calculation consumption of the terminal is further effectively reduced, and the elimination efficiency is improved.

Wherein, the preset brightness threshold can be preset by the factory program of the terminal, or the preset brightness threshold can also be set by the provider of related image beautification services according to their own needs, which effectively improves the flexibility of method configuration.

Further, it can be understood that, since the brightness value of the dark circle area is generally smaller than the brightness value of the non-dark circle area, the brightness value of the dark circle area can be obtained by including each of the preset ranges of the eye area. The brightness information of the pixels determines the dark circle area.

Alternatively, the dark circle area may also be determined through the hue information of each pixel in a preset range including the eye area.

Alternatively, the dark circle area may also be determined by using the saturation information of each pixel in a preset range including the eye area, which is not limited.

In the embodiment of the present invention, the dark circle area is determined by using the brightness information of each pixel in the preset range including the eye area, the method is simple and easy to implement, and the collected brightness information has a high reference value, and the determined The under-eye area is more accurate.

S23: Determine multiple pixel points belonging to the same connected region among at least one pixel point.

S24: Use the image area corresponding to the plurality of pixels as a dark circle area.

Wherein, the luminance information of each pixel in the at least one pixel is less than or equal to a preset luminance threshold.

Every two pixels in the at least one pixel may be adjacent or non-adjacent.

Based on the distribution characteristics of the dark circle area, in an embodiment of the present invention, multiple pixels belonging to the same connected area among at least one pixel can be determined first, and then, the skin area where the multiple pixels are located is used as Dark circle area.

Based on this method, one or more dark circle regions can be determined, and the one or more dark circle regions can be scattered and have different sizes.

Optionally, referring to FIG. 5, after the dark circle area is determined, the method may further include:

S51: Perform smoothing and filtering processing on the dark circle area.

In the embodiment of the present invention, by performing smoothing and filtering processing on the dark circle area, partial detail information of the dark circle area can be recovered, and the effect of eliminating the dark circle area can be further improved.

S13: Perform elimination processing on the dark circle area based on the brightness information of the human face area, so as to eliminate the dark circles in the human face area.

Optionally, the brightness information of the face area is: an average brightness value of all pixels in the face area.

Optionally, referring to FIG. 6, S13 may also include:

S61: directly configuring the brightness information of each pixel in the dark circle area as a brightness mean value, so as to eliminate the dark circles in the face area.

Alternatively, for each pixel in the dark circle area, an average may be calculated between its luminance value and the luminance average value, and then the luminance value of the pixel point is directly configured as the average value, which is not limited.

In the embodiment of the present invention, by directly configuring the brightness information of each pixel in the dark circle area as the brightness average value to eliminate the dark circles in the face area, the difference between the pixels in the dark circle area and the surrounding pixels can be reduced. The difference in brightness can achieve the purpose of removing dark circles.

In this embodiment, by acquiring the skin area of the human face area, the brightness information of each pixel in the skin area is extracted, and the dark circle area is determined based on the brightness information of each pixel point, and the dark circle area is determined based on the brightness information of the human face area. The eye circle area is eliminated to eliminate the dark circles in the face area, which can effectively improve the effect of removing dark circles and improve the visual perception of the picture.

Fig. 7 is a schematic structural diagram of a device for eliminating dark circles in the face area proposed by an embodiment of the present invention.

Referring to FIG. 7, the device 700 includes: a skin area acquisition module 701, a dark circle area determination module 702, and a dark circle elimination module 703, wherein,

The skin area acquisition module 701 is configured to acquire the skin area of the human face area.

The dark circle area determination module 702 is configured to extract the brightness information of each pixel in the skin area, and determine the dark circle area based on the brightness information of each pixel.

The dark circle elimination module 703 is configured to perform elimination processing on the dark circle area based on the brightness information of the human face area, so as to eliminate the dark circles in the human face area.

Optionally, in some embodiments, the dark circle area determination module 702 is specifically used for:

Determining the eye area in the face area;

Within a preset range including the eye area, determine among all pixels within the preset range, at least one pixel whose brightness information is less than or equal to a preset brightness threshold;

Determining multiple pixel points belonging to the same connected region in at least one pixel point;

The image area corresponding to multiple pixels is regarded as the dark circle area.

Optionally, the brightness information of the face area is: an average brightness value of all pixels in the face area.

Optionally, in some embodiments, the dark circle elimination module 703 is specifically used for:

The brightness information of each pixel in the dark circle area is directly configured as the brightness mean value to eliminate the dark circles in the face area.

Optionally, in some embodiments, referring to FIG. 8, the device 700 further includes:

The smoothing filter processing module 704 is configured to perform smoothing filter processing on the dark circle area.

It should be noted that the explanations of the embodiment of the method for eliminating dark circles in the face area in the above-mentioned embodiments of FIGS. 1-6 are also applicable to the device 700 for eliminating dark circles in the face area of this embodiment. I won't repeat them here.

In this embodiment, by acquiring the skin area of the human face area, the brightness information of each pixel in the skin area is extracted, and the dark circle area is determined based on the brightness information of each pixel point, and the dark circle area is determined based on the brightness information of the human face area. The eye circle area is eliminated to eliminate the dark circles in the face area, which can effectively improve the effect of removing dark circles and improve the visual perception of the picture.

Fig. 9 is a schematic structural diagram of a terminal proposed by an embodiment of the present invention.

The terminal may be a mobile phone, a tablet computer, or the like.

Referring to FIG. 9, the terminal 90 of this embodiment includes: a housing 901, a processor 902, a memory 903, a circuit board 904, and a power supply circuit 905. The circuit board 904 is placed inside the space surrounded by the housing 901. 903 is set on the circuit board 904; the power supply circuit 905 is used to supply power to each circuit or device of the terminal 90; the memory 903 is used to store executable program code; wherein, the processor 902 reads the executable program code stored in the memory 903 to run the program corresponding to the executable program code for the execution of:

Obtain the skin area of the face area;

Extract the brightness information of each pixel in the skin area, and determine the dark circle area based on the brightness information of each pixel;

The black eye area is eliminated based on the brightness information of the human face area, so as to eliminate the dark eye circle in the human face area.

It should be noted that the explanations of the embodiment of the method for eliminating dark circles in the face area in the foregoing embodiments in FIGS. 1-6 are also applicable to the terminal 90 in this embodiment, and its implementation principles are similar, so details are not repeated here.

The terminal in this embodiment, by acquiring the skin area of the face area, extracts the brightness information of each pixel in the skin area, and determines the dark circle area based on the brightness information of each pixel, and based on the brightness information of the face area Performing elimination processing on the dark circle area to eliminate the dark circles in the face area can effectively improve the effect of eliminating dark circles and improve the visual perception of the picture.

In order to realize the above-mentioned embodiments, the present invention also proposes a non-transitory computer-readable storage medium. When the instructions in the storage medium are executed by the processor of the terminal, the terminal can execute a method for eliminating dark circles in the face area, The method includes: acquiring the skin area of the human face area; extracting the brightness information of each pixel in the skin area, and determining the dark circle area based on the brightness information of each pixel point; eliminating the dark circle area based on the brightness information of the human face area processing to remove dark circles in the face area.

The non-transitory computer-readable storage medium in this embodiment obtains the skin area of the face area, extracts the brightness information of each pixel in the skin area, and determines the dark circle area based on the brightness information of each pixel, and The black eye area is eliminated based on the brightness information of the face area to eliminate the dark circles in the face area, which can effectively improve the effect of removing dark circles and improve the visual perception of the picture.

In order to realize the above-mentioned embodiment, the present invention also proposes a computer program product, when the instructions in the computer program product are executed by the processor, a method for eliminating dark circles in the face area is executed, the method includes: obtaining the skin of the face area area; extract the brightness information of each pixel in the skin area, and determine the dark circle area based on the brightness information of each pixel; eliminate the dark circle area based on the brightness information of the face area, so as to eliminate the dark circle area in the face area Dark circles are eliminated.

The computer program product in this embodiment extracts the brightness information of each pixel in the skin area by acquiring the skin area of the human face area, and determines the dark circle area based on the brightness information of each pixel point, and based on the brightness information of the human face area The brightness information performs elimination processing on the dark circle area to eliminate the dark circle in the face area, which can effectively improve the elimination effect of the dark circle and improve the visual perception of the picture.

It should be noted that, in the description of the present invention, the terms "first", "second" and so on are only used for description purposes, and should not be understood as indicating or implying relative importance. In addition, in the description of the present invention, unless otherwise specified, "plurality" means two or more.

Any process or method descriptions in flowcharts or otherwise described herein may be understood to represent modules, segments or portions of code comprising one or more executable instructions for implementing specific logical functions or steps of the process , and the scope of preferred embodiments of the invention includes alternative implementations in which functions may be performed out of the order shown or discussed, including substantially concurrently or in reverse order depending on the functions involved, which shall It is understood by those skilled in the art to which the embodiments of the present invention pertain.

It should be understood that various parts of the present invention can be realized by hardware, software, firmware or their combination. In the embodiments described above, various steps or methods may be implemented by software or firmware stored in memory and executed by a suitable instruction execution system. For example, if implemented in hardware, as in another embodiment, it can be implemented by any one or combination of the following techniques known in the art: Discrete logic circuits, ASICs with suitable combinational logic gates, programmable gate arrays (PGAs), field programmable gate arrays (FPGAs), etc.

Those of ordinary skill in the art can understand that all or part of the steps carried by the methods of the above embodiments can be completed by instructing related hardware through a program, and the program can be stored in a computer-readable storage medium. During execution, one or a combination of the steps of the method embodiments is included.

In addition, each functional unit in each embodiment of the present invention may be integrated into one processing module, each unit may exist separately physically, or two or more units may be integrated into one module. The above-mentioned integrated modules can be implemented in the form of hardware or in the form of software function modules. If the integrated modules are realized in the form of software function modules and sold or used as independent products, they can also be stored in a computer-readable storage medium.

The storage medium mentioned above may be a read-only memory, a magnetic disk or an optical disk, and the like.

In the description of this specification, descriptions referring to the terms "one embodiment", "some embodiments", "example", "specific examples", or "some examples" mean that specific features described in connection with the embodiment or example , structure, material or characteristic is included in at least one embodiment or example of the present invention. In this specification, schematic representations of the above terms do not necessarily refer to the same embodiment or example. Furthermore, the specific features, structures, materials or characteristics described may be combined in any suitable manner in any one or more embodiments or examples.

Although the embodiments of the present invention have been shown and described above, it can be understood that the above embodiments are exemplary and should not be construed as limiting the present invention, and those skilled in the art can make the above-mentioned The embodiments are subject to changes, modifications, substitutions and variations.

Claims (12)

1. livid ring around eye removing method in a kind of human face region, it is characterised in that comprise the following steps：

Obtain the skin area of human face region；

The monochrome information of each pixel in the skin area is extracted, and the monochrome information based on each pixel determines Black eye collar region；

Monochrome information based on the human face region carries out Processing for removing to the black eye collar region, with the human face region Livid ring around eye eliminated.

2. livid ring around eye removing method in human face region as claimed in claim 1, it is characterised in that described to be based on each picture The monochrome information of vegetarian refreshments determines black eye collar region, including：

Determine the eye areas in the human face region；

Within the preset range including the eye areas, determine in whole pixels within the preset range, brightness Information is less than or equal at least one pixel of predetermined luminance threshold value；

Determine the multiple pixels for belonging to same connected region at least one pixel；

Using the image-region corresponding to the multiple pixel as the black eye collar region.

3. livid ring around eye removing method in human face region as claimed in claim 1, it is characterised in that the brightness of the human face region Information is：The luminance mean value of whole pixels in the human face region.

4. livid ring around eye removing method in human face region as claimed in claim 3, it is characterised in that described to be based on the face area The monochrome information in domain carries out Processing for removing to the black eye collar region, to be eliminated to the livid ring around eye in the human face region, Including：

The monochrome information of each pixel in the black eye collar region is directly configured to the luminance mean value, with to the face Livid ring around eye in region are eliminated.

5. livid ring around eye removing method in the human face region as described in claim any one of 1-4, it is characterised in that also include：

The disposal of gentle filter is carried out to the black eye collar region.

A kind of 6. livid ring around eye cancellation element in human face region, it is characterised in that including：

Skin area acquisition module, for obtaining the skin area of human face region；

Livid ring around eye area determination module, for extracting the monochrome information of each pixel in the skin area, and based on described The monochrome information of each pixel determines black eye collar region；

Livid ring around eye cancellation module, the black eye collar region is carried out at elimination for the monochrome information based on the human face region Reason, to be eliminated to the livid ring around eye in the human face region.

7. livid ring around eye cancellation element in human face region as claimed in claim 6, it is characterised in that the black eye collar region determines Module, it is specifically used for：

Determine the eye areas in the human face region；

Within the preset range including the eye areas, determine in whole pixels within the preset range, brightness Information is less than or equal at least one pixel of predetermined luminance threshold value；

Determine the multiple pixels for belonging to same connected region at least one pixel；

Using the image-region corresponding to the multiple pixel as the black eye collar region.

8. livid ring around eye cancellation element in human face region as claimed in claim 6, it is characterised in that the brightness of the human face region Information is：The luminance mean value of whole pixels in the human face region.

9. livid ring around eye cancellation element in human face region as claimed in claim 8, it is characterised in that the livid ring around eye eliminate mould Block, it is specifically used for：

The monochrome information of each pixel in the black eye collar region is directly configured to the luminance mean value, with to the face Livid ring around eye in region are eliminated.

10. livid ring around eye cancellation element in the human face region as described in claim any one of 6-9, it is characterised in that also include：

The disposal of gentle filter module, for carrying out the disposal of gentle filter to the black eye collar region.

11. a kind of non-transitorycomputer readable storage medium, is stored thereon with computer program, it is characterised in that the program The method as any one of claim 1-5 is realized when being executed by processor.

12. a kind of terminal, including housing, processor, memory, circuit board and power circuit, wherein, the circuit board is placed in The interior volume that the housing surrounds, the processor and the memory are arranged on the circuit board；The power circuit, For each circuit or the device power supply for the terminal；The memory is used to store executable program code；The processing Device runs journey corresponding with the executable program code by reading the executable program code stored in the memory Sequence, for performing：

Obtain the skin area of human face region；

The monochrome information of each pixel in the skin area is extracted, and the monochrome information based on each pixel determines Black eye collar region；

Monochrome information based on the human face region carries out Processing for removing to the black eye collar region, with the human face region Livid ring around eye eliminated.