WO2017143852A1

WO2017143852A1 - Picture processing method and apparatus, and electronic device

Info

Publication number: WO2017143852A1
Application number: PCT/CN2016/112258
Authority: WO
Inventors: 郭镇龙
Original assignee: 北京金山安全软件有限公司
Priority date: 2016-02-26
Filing date: 2016-12-27
Publication date: 2017-08-31
Also published as: CN105808645A; CN105808645B

Abstract

Embodiments of the present application provide a picture processing method and apparatus, and an electronic device. The method comprises: screening multiple groups of duplicate pictures out of a preset picture library, wherein the characteristics of pictures in each group of duplicate pictures match; respectively saving the multiple groups of duplicate pictures in multiple folders, wherein one folder has one-to-one correspondence to a group of duplicate pictures; separately calculating the picture contrast of each picture in each group of duplicate pictures; and using the picture having a maximum picture contrast in each group of duplicate pictures as the cover picture of a corresponding folder. In the embodiments of the present application, multiple groups of duplicate pictures are obtained by means of characteristic matching and screening, and are saved in folders, so that the problem of managing an album is solved; a picture having a maximum picture contrast in each group of duplicate pictures is used as the cover picture of a corresponding folder, making it convenient for a user to fast locate a required duplicate picture and view the duplicate picture, thereby improving user experience.

Description

Image processing method, device and electronic device

The present application claims priority to Chinese Patent Application No. 201610108433.8, entitled "A Picture Processing Method, Apparatus, and Electronic Apparatus", filed on February 26, 2016, the entire contents of which is incorporated herein by reference. In the application.

Technical field

The present application relates to the field of computer application technologies, and in particular, to a picture processing method, apparatus, and electronic device.

Background technique

With the development of science and technology, people are taking more and more photos, resulting in a large number of pictures in the album. In the album, there may be more duplicate pictures. The so-called duplicate picture is: the picture that the user cannot visually distinguish the picture difference. Among them, the method of generating repeated pictures usually includes: in order to achieve the best shooting effect, continuously adjust the angle and adjust the light to shoot the same target object, or, in order to save the storage space of the electronic device, people compress the image through some software, Or, in order to make the picture display ratio harmonious, the user can modify the resolution of the picture through some software.

For the repeated pictures in the album, people often do not have so much time to organize, repeating the pictures makes the album appear messy, and at the same time makes people unable to quickly find the desired picture. It can be seen that how to automatically organize albums is an urgent problem to be solved.

Summary of the invention

The purpose of the embodiment of the present application is to provide a picture processing method, device, and electronic device to solve the problem of how to organize an album. The specific technical solutions are as follows:

A picture processing method is applied to an electronic device, and the method includes:

From the preset picture library, a plurality of sets of duplicate pictures are obtained by filtering, wherein each picture feature in each set of repeated pictures matches;

Save multiple sets of duplicate pictures in multiple folders, one of which corresponds to a set of duplicate pictures;

Calculating the picture contrast of each picture in each group of repeated pictures;

The picture with the highest contrast of the pictures in each group of duplicate pictures is used as the cover picture of the corresponding folder.

Optionally, from the preset image library, the filter obtains multiple sets of duplicate images, including:

Selecting, from the preset picture library, a picture that meets the first predetermined condition as a current reference picture, where the first predetermined condition includes: a picture that is not used as a reference picture and is not determined to match other picture features ;

Performing feature matching processing on the current reference picture and other pictures in the preset picture library except the current reference picture that meet the second predetermined condition; wherein the second predetermined condition includes at least not being used as a reference picture and not a picture that is determined to match other picture features;

If there is a target picture that matches the current reference picture feature, determining the current reference picture and the target picture as a duplicate picture, and returning to execute from the preset picture library, selecting a picture that meets the first predetermined condition as the current The steps of the reference picture.

Optionally, the second predetermined condition further includes: the time interval of the shooting time with the current reference picture is within a first preset threshold range.

Optionally, the feature matching process includes:

The current reference picture is used as the first picture, and other pictures in the preset picture library that meet the second predetermined condition except the current reference picture are used as the second picture;

And dividing, according to the gray value, the first object object and the first background object corresponding to the first picture, and the second object object and the second background object corresponding to the second picture;

Calculating a pixel attribute value of the first object object according to the pixel point included in the first object object, and calculating a pixel attribute value of the first background object according to the pixel point included in the first background object, Calculating a pixel attribute value of the second object object according to the pixel point included in the second object object, and calculating a pixel attribute value of the second background object according to the pixel point included in the second background object;

Determining the first according to a pixel attribute value of the first object object, a pixel attribute value of the first background object, a pixel attribute value of the second object object, and a pixel attribute value of the second background object Whether the picture and the second picture are mutually repeated pictures, and if so, determining the first picture The slice matches the second picture feature, and if not, it is determined that the first picture does not match the second picture feature.

Optionally, the calculating a picture contrast of each picture in each group of repeated pictures, including:

For each picture in each group of repeated pictures, calculate the contrast of the picture according to the following formula:

& _i =2×a _i -b _i

Where & _i is the contrast of the picture i, a _i is the average of the color values of the object object of the picture i, and b _i is the average value of the color values of the background object of the picture i.

A picture processing device is applied to an electronic device, the device comprising:

a screening module, configured to filter, by using a preset image library, a plurality of sets of repeated pictures, wherein each picture feature in each set of repeated pictures matches;

a saving module, configured to separately save a plurality of sets of duplicate pictures in a plurality of folders, wherein one folder corresponds to a set of duplicate pictures one by one;

a calculation module, configured to separately calculate a picture contrast of each picture in each group of repeated pictures;

The processing module is configured to use a picture with the highest contrast of the pictures in each group of repeated pictures as the cover picture of the corresponding folder.

Optionally, the screening module includes:

a selecting unit, configured to select, from the preset picture library, a picture that meets the first predetermined condition as a current reference picture, where the first predetermined condition includes: not being used as a reference picture and not determined to be other Picture matching the picture;

a matching unit, configured to perform feature matching processing on the current reference picture and other pictures in the preset picture library except the current reference picture that meet the second predetermined condition; wherein the second predetermined condition includes at least a picture that is a reference picture and is not determined to match other picture features;

a determining unit, configured to determine a current reference picture and the target picture as a duplicate picture if the matching unit has a target picture that matches the current reference picture feature, and return to trigger the selecting unit to execute the preset picture In the library, select an image that meets the first predetermined condition as The steps of the current reference picture.

Optionally, the second predetermined condition further includes:

The time interval of the shooting time with the current reference picture is within the first predetermined threshold range.

Optionally, the feature matching process includes:

Determining the first according to a pixel attribute value of the first object object, a pixel attribute value of the first background object, a pixel attribute value of the second object object, and a pixel attribute value of the second background object Whether the picture and the second picture are mutually repeated pictures, if yes, determining that the first picture matches the second picture feature, and if not, determining that the first picture and the second picture feature are not match.

Optionally, the calculating module is specifically configured to:

& _i =2×a _i -b _i

An electronic device, the electronic device comprising:

a housing, a processor, a memory, a circuit board, and a power supply circuit, wherein the circuit board is disposed inside the space enclosed by the housing, the processor and the memory are disposed on the circuit board; and the power circuit is used for the electronic The various circuits or devices of the device are powered; the memory is for storing executable program code; the processor runs the program corresponding to the executable program code by reading executable program code stored in the memory for performing the following steps:

To achieve the above objective, an embodiment of the present application further provides a storage medium, where the storage medium is used to store executable program code, and the executable program code is executed to execute a picture processing method described in the present application. . The image processing method of the present application is applied to an electronic device, and the method includes:

To achieve the above objective, an embodiment of the present application further provides an application, where the application is used to execute a picture processing method described in the present application at runtime. The image processing method of the present application is applied to an electronic device, and the method includes:

In the embodiment of the present application, multiple sets of duplicate pictures are obtained by feature matching screening and saved in multiple folders, which solves the problem of arranging albums, and the picture with the largest picture contrast in each group of repeated pictures is used as the cover picture of the corresponding folder. It is convenient for users to quickly locate the required duplicate pictures and view duplicate pictures to improve the user experience. Of course, implementing any of the products or methods of the present application necessarily does not necessarily require all of the advantages described above to be achieved at the same time.

DRAWINGS

In order to more clearly illustrate the embodiments of the present application and the technical solutions of the prior art, the following description of the embodiments and the drawings used in the prior art will be briefly introduced. Obviously, the drawings in the following description are only Some embodiments of the application may also be used to obtain other figures from those of ordinary skill in the art without departing from the scope of the invention.

FIG. 1 is a schematic flowchart diagram of a picture processing method according to an embodiment of the present application;

2 is a schematic diagram of a picture in a mobile phone album provided by an embodiment of the present application;

FIG. 3 is a schematic diagram of a display image of a cover picture of a duplicate picture folder according to an embodiment of the present application; FIG.

FIG. 4( a ) is a schematic diagram of a repeating picture in a mobile phone album provided by an embodiment of the present application;

FIG. 4(b) is a schematic diagram of viewing a repeated picture according to an embodiment of the present application;

FIG. 5 is another schematic flowchart of a picture processing method according to an embodiment of the present application;

FIG. 6 is a schematic structural diagram of a picture processing apparatus according to an embodiment of the present disclosure;

FIG. 7 is another schematic structural diagram of a picture processing apparatus according to an embodiment of the present disclosure;

FIG. 8 is a schematic structural diagram of an electronic device according to an embodiment of the present application.

detailed description

In order to make the objects, technical solutions, and advantages of the present application more comprehensible, the present application will be further described in detail below with reference to the accompanying drawings. It is apparent that the described embodiments are only a part of the embodiments of the present application, and not all of them. Based on the embodiments in the present application, common in the art All other embodiments obtained by the skilled person without creative efforts are within the scope of the present application.

In order to solve the prior art problem, the embodiment of the present application provides a picture processing method, device, and electronic device.

The following is a description of a picture processing method provided by the embodiment of the present application.

It should be noted that a picture processing method provided by an embodiment of the present application is applied to an electronic device. In practical applications, the electronic device can be a smart phone, a tablet computer, a laptop computer, etc., which is reasonable.

In addition, the function software that implements a picture processing method provided by the embodiment of the present application may be a plug-in of an existing client software; or the function software may also be an independent client software for implementing picture processing.

As shown in FIG. 1 , a method for processing a picture, which is applied to an electronic device, may include:

S101: Filter multiple preset images from the preset image library.

Among them, each picture feature in each set of repeated pictures matches.

In order to achieve the best photo effect, people will constantly adjust the angle or adjust the light, and then repeat the picture, while the current electronic devices provide a large storage space, so the user will directly store the picture to the photo when the picture is taken. The preset picture library of the electronic device can also be stored in the preset picture library of other electronic devices, which is reasonable, and thus, there are multiple pictures in the preset picture library of the electronic device, and more There are duplicate pictures in the picture. At this time, the repeated pictures will make the preset picture library of the electronic device appear messy, and the user cannot quickly find the required picture. Therefore, it is necessary to filter the feature matching in the preset picture library. Multiple sets of duplicate pictures.

It can be understood that a plurality of sets of duplicate pictures can be selected after receiving the filtering command sent by the user, which is not limited to this one, and is not limited herein.

S102: Save multiple sets of duplicate pictures in multiple folders respectively.

Among them, a folder corresponds to a set of duplicate pictures one by one.

Since there are multiple groups of duplicate pictures filtered, each set of duplicate pictures filtered is saved to In the corresponding folder, the purpose of arranging the preset picture library is achieved. At this time, each folder has a set of duplicate pictures corresponding to it.

S103: Calculate the picture contrast of each picture in each group of repeated pictures.

Since there is no cover image for each folder, and there are multiple folders after finishing, the user cannot distinguish the duplicate images saved in each folder, in order to organize the preset image library and enable the user to quickly find the desired image. For the purpose of placing each set of duplicate pictures into their corresponding folders, respectively calculating the picture contrast of each picture in each set of repeated pictures, and selecting a picture according to the calculated picture contrast, the picture is corresponding The cover image of the folder.

S104: The picture with the highest contrast of the pictures in each group of repeated pictures is used as the cover picture of the corresponding folder.

Since the contrast of the picture is larger, the effect of the picture is better. Therefore, in each group of repeated pictures, the selected picture is the picture with the largest contrast, and the picture is used as the cover picture of the corresponding folder, because the picture works best. It is convenient for users to know the duplicate pictures saved in this folder.

Further, after each set of duplicate pictures is saved in the corresponding folder, a duplicate picture identifier may be displayed in the lower right corner of the cover picture to prompt the user that the folder is a folder that can be opened with duplicate pictures, in the user When you click on a folder corresponding to a group of duplicate images, you can view duplicate images in that folder.

In the embodiment of the present application, multiple sets of duplicate pictures are obtained by feature matching screening and saved in multiple folders, which solves the problem of arranging albums, and the picture with the largest picture contrast in each group of repeated pictures is used as the cover picture of the corresponding folder. It is convenient for users to quickly locate the required duplicate pictures and view duplicate pictures to improve the user experience.

The method shown in Fig. 1 will be described in detail below through a specific embodiment.

For example, the electronic device is a mobile phone, and there are multiple sets of duplicate photos in the album of the mobile phone. As shown in FIG. 2, multiple sets of duplicate pictures are filtered out in the album of the mobile phone, and multiple sets of duplicate pictures are saved in their corresponding folders, respectively. Calculate the picture contrast of each picture in each group of repeated pictures, and take the picture with the largest picture contrast in each group of repeated pictures as the cover picture of the corresponding folder as shown in Fig. 4(a), and each set of duplicate pictures is saved in the corresponding folder. After the middle, in the lower right corner of the cover image, a corner of the repeated image is shown in the lower right corner of the figure. When the user clicks on a folder corresponding to a group of duplicate images, you can check Look at the duplicate pictures in this folder as shown in Figure 4(b), where 4(b) gives three duplicate pictures.

It can be understood that there are various implementation methods for filtering multiple sets of duplicate pictures from the preset picture library, and an example is introduced below.

As shown in FIG. 5, in an implementation manner, selecting multiple sets of duplicate pictures from the preset picture library (S101) may include the following steps:

S1011: Select, from the preset picture library, a picture that meets the first predetermined condition as the current reference picture.

The first predetermined condition may include: a picture that is not a reference picture and is not determined to match other picture features.

In a preset picture library in the electronic device, any picture may be used as a reference picture, and in the preset picture library, a picture that is not used as a reference picture and is not determined to match other picture features is selected as the current reference. image.

S1012: Perform feature matching processing on the current reference picture and other pictures in the preset picture library except the current reference picture that meet the second predetermined condition.

The second predetermined condition may include at least a picture that is not a reference picture and is not determined to match other picture features.

Matching the current reference picture with the ungrouped picture in the preset picture library to determine a picture that is a duplicate picture with the current reference picture.

S1013: If there is a target picture that matches the current reference picture feature, the current reference picture and the target picture are determined as duplicate pictures, and it is determined whether the preset picture library is processed. If yes, execute S102; otherwise, return to S1011.

After filtering out a set of repeated pictures matching the current reference picture feature, if there is still an ungrouped picture in the preset picture library, repeating execution from the preset picture library, selecting one piece that meets the first predetermined condition The picture is used as a step of the current reference picture until all the duplicate pictures in the preset picture library are filtered out. If all the pictures in the preset picture library are grouped, step S102 is performed.

Further, the second predetermined condition may further include: the time interval of the shooting time with the current reference picture is within a first preset threshold range.

In order to achieve the best photo effect, people will constantly adjust the angle or adjust the light, and then repeat the picture in the adjacent time. Therefore, the repeated picture shooting time is generally close, so the current reference picture and the pre-preview can be Setting a picture in the picture library other than the current reference picture that is not determined as a reference picture and is not determined to match other picture features and the time interval of the current reference picture is within a first preset threshold range Match processing.

Further, there may be multiple implementations of the feature matching process, which are described below.

In an implementation manner, the feature matching process may include:

Determining the first according to a pixel attribute value of the first object object, a pixel attribute value of the first background object, a pixel attribute value of the second object object, and a pixel attribute value of the second background object Whether the picture and the second picture are mutually repeated pictures, and if so, determining that the first picture matches the second picture feature, and if not, determining that the first picture does not match the second picture feature.

Since the picture is composed of an object object and a background object, wherein the background object is the overall background of the picture when the picture is taken, the object object is the main content of the picture other than the background object, and therefore, the common point of the repeated picture can be adopted It is determined whether the object object and the background object of the picture are similar, that is, whether the shape of the pixel dense area is similar to identify a duplicate picture. Based on this processing idea, The object object and the background object in the picture may be segmented according to the gray value for each picture in the first picture and the second picture to be determined.

The first object object and the first background object corresponding to the first picture, and the second object object and the second background object corresponding to the second picture may be:

Calculating a difference of gray value values of each adjacent two pixel points in the first picture, if the difference of the gray value values of the adjacent two pixel points is greater than a second preset threshold, determining that the two pixel points are the first The segmentation point of the object object and the background object of the image;

Forming the object points of the plurality of first pictures and the segmentation points of the background object into a first dividing line;

Splitting the first object object and the first background object in the first picture according to the first dividing line;

Calculating a difference of gray value values of each adjacent two pixel points in the second picture, if the difference of the gray value values of the adjacent two pixel points is greater than a third preset threshold, determining that the two pixel points are the second The segmentation point of the object object and the background object of the image;

Forming the object points of the plurality of second pictures and the segmentation points of the background object into a second dividing line;

The second object object and the second background object in the second picture are segmented according to the second dividing line.

Calculating a pixel attribute value of the first object object according to the pixel point included in the first object object, and calculating a pixel attribute value of the first background object according to the pixel point included in the first background object, according to the second object object The pixel calculates the pixel attribute value of the second object object, and calculates the pixel attribute value of the second background object according to the pixel point included in the second background object, which may include:

Calculating an average value of sums of color values of all pixel points of the first object object, determining the average value as an average value of the color values of the first object object, and using the average value of the color values as the pixel attribute value of the first object object ;

Calculating an average value of sums of color values of all pixels of the first background object, determining the average value as an average value of the color values of the first background object, and using the average value of the color values as the pixel attribute value of the first background object ;

Calculating an average value of sums of color values of all pixel points of the second object object, determining the average value as an average value of the color values of the second object object, and using the average value of the color values as the pixels of the second object object Attribute value

Calculating an average value of sums of color values of all pixels of the second background object, determining the average value as an average value of the color values of the second background object, and using the average value of the color values as the pixel attribute value of the second background object .

Since the picture is a set of pixel points, the color value is the feature information of the pixel point, and therefore, whether the picture content is similar can be determined based on the color value of the pixel point. Based on the processing idea, in order to realize repetitive recognition, after the object object and the background object are segmented, the average value of the color value of the object object and the average value of the color value of the background object may be calculated. It should be emphasized that the color value of the pixel is the color value of the pixel, and the specific color values under different color models are different. For example, the color value of one pixel under the red, green and blue RGB color model. It is a collection of three aspects of red, green and blue. Under the HSV color model, the color values of one pixel are: a set of three phases: hue, saturation and color brightness.

Determining whether the first picture and the second picture are mutually duplicate images according to the pixel attribute value of the first object object, the pixel attribute value of the first background object, the pixel attribute value of the second object object, and the pixel attribute value of the second background object Can include:

Calculating a first type of mathematical operation value between a pixel attribute value of the first object object and a pixel attribute value of the second object object;

Calculating a second type of mathematical operation value between a pixel attribute value of the first background object and a pixel attribute value of the second background object;

Determining whether the first type of mathematical operation value and the second type of mathematical operation value meet the preset condition; if yes, determining that the first picture and the second picture are mutually repeated pictures; otherwise, determining that the first picture and the second picture are not mutually overlapping image.

The calculating the first type of mathematical operation value between the pixel attribute value of the first object object and the pixel attribute value of the second object object may include:

Calculating a first difference between a pixel attribute value of the first object object and a pixel attribute value of the second object object;

Calculating a second type of mathematical operation value between the pixel attribute value of the first background object and the pixel attribute value of the second background object may include:

Calculating a second difference between the pixel attribute value of the first background object and the pixel attribute value of the second background object;

Determining whether the first type of mathematical operation value and the second type of mathematical operation value meet the preset condition may include:

Determining whether the first difference is less than the fourth preset threshold and the second difference is less than the fifth preset threshold. If yes, indicating that the preset condition is met; otherwise, indicating that the preset condition is not met.

It is determined whether the first picture and the second picture are duplicate pictures by calculating a difference between a pixel attribute value of the object object of the two pictures and a pixel attribute value of the background object and a corresponding threshold.

In another implementation, calculating the first type of mathematical operation value between the pixel attribute value of the first object object and the pixel attribute value of the second object object may include:

Calculating a third difference between the pixel attribute value of the first object object and the pixel attribute value of the second object object, and calculating a fourth arithmetic mean value of the pixel attribute value of the first object object and the pixel attribute value of the second object object;

Calculating a fifth difference between the pixel attribute value of the first background object and the pixel attribute value of the second background object, and calculating a sixth arithmetic mean value of the pixel attribute value of the first object object and the pixel attribute value of the second object object;

Determining whether the third difference is less than a sixth preset threshold, the fourth average is less than a seventh preset threshold, the fifth difference is less than an eighth preset threshold, and the sixth average is less than a ninth preset threshold, if yes Indicates that the preset condition is met, otherwise it indicates that the preset condition is not met.

It is determined whether the first picture and the second picture are duplicate pictures by calculating a difference between the pixel attribute value of the object object of the two pictures and the pixel attribute value of the background object and the arithmetic mean value and comparing with the corresponding threshold.

Specifically, calculating the picture contrast of each picture in each group of repeated pictures may include:

_{_{& I = 2 × a i -b}} i

Wherein, the color value of the pixel is the color value of the pixel, and the specific color values under different color models are different, for example: red, green and blue RGB color model, red is 255, 0, 0; green 0, 255, 0,; blue is 0, 0, 255, the color value of one pixel is: red, green and blue. Finding the average of the sum of the red color values of all the pixel points of the object object, the average of the sum of the green color values, and the average of the blue color values as the average value of the object object color values, and obtaining all the pixels of the background object The average of the sum of the red color values of the dots, the average of the sum of the green color values, and the average of the blue color values are used as the average of the color values of the background object.

For example, the object object includes 3 pixel points A, B, and C, the pixel point A is black, the pixel point B is gray, and the pixel point C is red, wherein the color value of black is 0, 0, 0; the gray is 128, 128, 128; The red is 255, 0, 0, and the average of the sum of the color values of all the pixels of the object object is

That is 128, 43, 43.

In addition, since the number of pixels constituting the object object or the background object is generally large, the average value of the sum of the color values of more than half of the pixel points can represent the average value of the color value of the object object or the background object, and at this time, the object can be calculated. The average value of the sum of the color values of the preset number of pixels of the object, and the average value is used as the average value of the color values of the object object, and the average value of the sum of the color values of the preset number of pixel points of the background object is calculated. This average is used as the average of the color values of the background objects, which is reasonable.

Thus, for each picture in each group of repeated pictures, the object object and the background object in the picture are segmented according to the gray value, and the average value of the color value of the object object of the picture and the average value of the color value of the background object are calculated. The contrast of the picture.

Compared with the foregoing method embodiment, the embodiment of the present application further provides a picture processing device, which should For an electronic device, as shown in FIG. 6, the device may include:

The screening module 601 is configured to filter, by using a preset picture library, multiple sets of duplicate pictures, where each picture feature in each set of repeated pictures matches;

a saving module 602, configured to separately save a plurality of sets of duplicate pictures in a plurality of folders, wherein one folder corresponds to a set of repeated pictures one by one;

a calculating module 603, configured to separately calculate a picture contrast of each picture in each group of repeated pictures;

The processing module 604 is configured to use a picture with the largest picture contrast in each group of repeated pictures as a cover picture of the corresponding folder.

Specifically, the calculating module 603 can be specifically configured to:

δ _i = 2 × a _i - b _i

Where δ _i is the contrast of the picture i, a _i is the average value of the color values of the object object of the picture i, and b _i is the average value of the color values of the background object of the picture i.

Further, as shown in FIG. 7, the image processing device provided by the present application is applied to an electronic device, and the device may include:

The selecting unit 701 is configured to select, from the preset picture library, a picture that meets the first predetermined condition as the current reference picture, where the first predetermined condition includes: not being used as a reference picture and not determined to be Other pictures with matching image characteristics;

The matching unit 702 is configured to perform feature matching processing on the current reference picture and other pictures in the preset picture library except the current reference picture that meet the second predetermined condition; wherein the second predetermined condition includes at least a picture that is used as a reference picture and is not determined to match other picture features;

The determining unit 703 is configured to determine the current reference picture and the target picture as a duplicate picture in the case that the matching unit has a target picture that matches the current reference picture feature, and return to trigger the selection unit 701.

The saving module 704 is configured to save the plurality of sets of duplicate pictures in the folder, wherein the folder has a one-to-one correspondence with the repeated pictures;

a calculating module 705, configured to separately calculate a picture contrast of each picture in each group of repeated pictures;

The processing module 706 is configured to use a picture with the largest picture contrast in each group of repeated pictures as a cover picture of the corresponding folder.

Specifically, the second predetermined condition may further include: the time interval of the shooting time with the current reference picture is within a first preset threshold range.

Specifically, the feature matching process may include:

Correspondingly, as shown in FIG. 8 , the embodiment of the present application further provides an electronic device, where the electronic device may include:

a housing 801, a processor 802, a memory 803, a circuit board 804, and a power supply circuit 805, wherein the circuit board 804 is disposed inside a space enclosed by the housing, the processor 802 and the memory 803 are disposed on the circuit board 804; and the power supply circuit 805 For powering various circuits or devices of the electronic device; the memory 803 is for storing executable program code; the processor 802 is configured to execute a program corresponding to the executable program code by reading the executable program code stored in the memory 803 Used to perform the following steps:

Correspondingly, the embodiment of the present application further provides a storage medium, where the storage medium is used to store executable program code, and the executable program code is executed to execute a picture processing method described in the present application. The image processing method of the present application is applied to an electronic device, and the method may include:

In the embodiment of the present application, multiple sets of duplicate pictures are obtained by feature matching screening and saved in multiple folders, which solves the problem of arranging albums, and maps the contrast of the pictures in each group of repeated pictures. The slice is used as the cover image of the corresponding folder, which is convenient for the user to quickly locate the required repeated pictures and view the repeated pictures to improve the user experience.

Correspondingly, the embodiment of the present application further provides an application, where the application is used to execute a picture processing method described in the present application at runtime. The image processing method of the present application is applied to an electronic device, and the method may include:

It should be noted that, in this context, relational terms such as first and second are used merely to distinguish one entity or operation from another entity or operation, and do not necessarily require or imply such entities or operations. There is any such actual relationship or order between them. Furthermore, the term "comprises" or "comprises" or "comprises" or any other variations thereof is intended to encompass a non-exclusive inclusion, such that a process, method, article, or device that comprises a plurality of elements includes not only those elements but also Other elements, or elements that are inherent to such a process, method, item, or device. An element that is defined by the phrase "comprising a ..." does not exclude the presence of additional equivalent elements in the process, method, item, or device that comprises the element.

The various embodiments in the present specification are described in a related manner, and the same or similar parts between the various embodiments may be referred to each other, and each embodiment focuses on the differences from the other embodiments. In particular, for the apparatus, the electronic device, the application, and the storage medium embodiment, since it is basically similar to the method embodiment, the description is relatively simple, and the related embodiments are referred to the method embodiment. Part of the description can be.

In the several embodiments provided herein, it should be understood that the disclosed apparatus may be implemented in other ways. For example, the device embodiments described above are schematic, for example, the division of the unit is only a logical function division, and the actual implementation may have another division manner, for example, multiple units or components may be combined or may be integrated. Go to another system, or some features can be ignored or not executed. In addition, the mutual coupling or direct coupling or communication connection shown or discussed may be an indirect coupling or communication connection through some interface, device or unit, and may be electrical or otherwise.

The units described as separate components may or may not be physically separated, and the components displayed as units may or may not be physical units, that is, may be located in one place, or may be distributed to multiple network units. Some or all of the units may be selected according to actual needs to achieve the purpose of the solution of the embodiment.

In addition, each functional unit in each embodiment of the present application may be integrated into one processing unit, or each unit may exist physically separately, or two or more units may be integrated into one unit. The above integrated unit can be implemented in the form of hardware or in the form of a software functional unit.

The integrated unit, if implemented in the form of a software functional unit and sold or used as a standalone product, may be stored in a computer readable storage medium. Based on such understanding, the technical solution of the present application, in essence or the contribution to the prior art, or all or part of the technical solution may be embodied in the form of a software product stored in a storage medium. A number of instructions are included to cause a computer device (which may be a personal computer, server or network device, etc.) to perform all or part of the steps of the methods described in various embodiments of the present application. The foregoing storage medium includes: a U disk, a Read-Only Memory (ROM), a Random Access Memory (RAM), a removable hard disk, a magnetic disk, or an optical disk, and the like. .

The above embodiments are only used to explain the technical solutions of the present application, and are not limited thereto; although the present application is described in detail with reference to the foregoing embodiments, those skilled in the art should understand that they can still The technical solutions described in the foregoing embodiments are modified, or some of the technical features are equivalently replaced; and the modifications or replacements do not make the corresponding technologies The nature of the solution departs from the scope of the technical solutions of the embodiments of the present application.

The above description is only the preferred embodiment of the present application, and is not intended to limit the scope of the present application. Any modifications, equivalent substitutions, improvements, etc. made within the spirit and principles of the present application are included in the scope of the present application.

Claims

A picture processing method is characterized in that it is applied to an electronic device, and the method includes:

From the preset picture library, a plurality of sets of duplicate pictures are obtained by filtering, wherein each picture feature in each set of repeated pictures matches;

Save multiple sets of duplicate pictures in multiple folders, one of which corresponds to a set of duplicate pictures;

Calculating the picture contrast of each picture in each group of repeated pictures;

The picture with the highest contrast of the pictures in each group of duplicate pictures is used as the cover picture of the corresponding folder.
The method according to claim 1, wherein the screening from the preset picture library to obtain a plurality of sets of duplicate pictures comprises:

Selecting, from the preset picture library, a picture that meets the first predetermined condition as a current reference picture, where the first predetermined condition includes: a picture that is not used as a reference picture and is not determined to match other picture features ;

Performing feature matching processing on the current reference picture and other pictures in the preset picture library except the current reference picture that meet the second predetermined condition; wherein the second predetermined condition includes at least not being used as a reference picture and not a picture that is determined to match other picture features;

If there is a target picture that matches the current reference picture feature, determining the current reference picture and the target picture as a duplicate picture, and returning to execute from the preset picture library, selecting a picture that meets the first predetermined condition as the current The steps of the reference picture.
The method according to claim 2, wherein the second predetermined condition further comprises: a time interval from a shooting time of the current reference picture being within a first predetermined threshold range.
The method according to claim 2, wherein the feature matching processing comprises:

The current reference picture is used as the first picture, and other pictures in the preset picture library that meet the second predetermined condition except the current reference picture are used as the second picture;

And dividing, according to the gray value, the first object object and the first background object corresponding to the first picture, and the second object object and the second background object corresponding to the second picture;

Calculating a pixel attribute value of the first object object according to the pixel point included in the first object object, and calculating a pixel attribute value of the first background object according to the pixel point included in the first background object, Calculating a pixel attribute value of the second object object according to the pixel point included in the second object object, and calculating a pixel attribute value of the second background object according to the pixel point included in the second background object;

Determining the first according to a pixel attribute value of the first object object, a pixel attribute value of the first background object, a pixel attribute value of the second object object, and a pixel attribute value of the second background object Whether the picture and the second picture are mutually repeated pictures, if yes, determining that the first picture matches the second picture feature, and if not, determining that the first picture and the second picture feature are not match.
The method according to claim 1, wherein said calculating a picture contrast of each picture in each set of repeated pictures separately comprises:

For each picture in each group of repeated pictures, calculate the contrast of the picture according to the following formula:

& i =2×a i -b i

Where & i is the contrast of the picture i, a i is the average of the color values of the object object of the picture i, and b i is the average value of the color values of the background object of the picture i.
A picture processing device is characterized in that it is applied to an electronic device, and the device includes:

a screening module, configured to filter, by using a preset image library, a plurality of sets of repeated pictures, wherein each picture feature in each set of repeated pictures matches;

a saving module, configured to separately save a plurality of sets of duplicate pictures in a plurality of folders, wherein one folder corresponds to a set of duplicate pictures one by one;

a calculation module, configured to separately calculate a picture contrast of each picture in each group of repeated pictures;

The processing module is configured to use a picture with the highest contrast of the pictures in each group of repeated pictures as the cover picture of the corresponding folder.
The apparatus according to claim 6, wherein the screening module comprises:

a selection unit for selecting a picture that meets the first predetermined condition from the preset picture library a current reference picture, wherein the first predetermined condition includes: a picture that is not a reference picture and is not determined to match other picture features;

a matching unit, configured to perform feature matching processing on the current reference picture and other pictures in the preset picture library except the current reference picture that meet the second predetermined condition; wherein the second predetermined condition includes at least a picture that is a reference picture and is not determined to match other picture features;

And a determining unit, configured to determine, in the case that the matching unit has a target picture that matches the current reference picture feature, the current reference picture and the target picture as a duplicate picture, and return to trigger the selection unit.
The apparatus according to claim 7, wherein said second predetermined condition further comprises:

The time interval of the shooting time with the current reference picture is within the first predetermined threshold range.
The device according to claim 7, wherein the feature matching processing comprises:

The current reference picture is used as the first picture, and other pictures in the preset picture library that meet the second predetermined condition except the current reference picture are used as the second picture;

And dividing, according to the gray value, the first object object and the first background object corresponding to the first picture, and the second object object and the second background object corresponding to the second picture;

Calculating a pixel attribute value of the first object object according to the pixel point included in the first object object, and calculating a pixel attribute value of the first background object according to the pixel point included in the first background object, Calculating a pixel attribute value of the second object object according to the pixel point included in the second object object, and calculating a pixel attribute value of the second background object according to the pixel point included in the second background object;

Determining the first according to a pixel attribute value of the first object object, a pixel attribute value of the first background object, a pixel attribute value of the second object object, and a pixel attribute value of the second background object Whether the picture and the second picture are mutually repeated pictures, if yes, determining that the first picture matches the second picture feature, and if not, determining that the first picture and the second picture feature are not match.
The device according to claim 6, wherein the calculation module is specifically configured to:

For each picture in each group of repeated pictures, calculate the contrast of the picture according to the following formula:

& i =2×a i -b i

Where & i is the contrast of the picture i, a i is the average of the color values of the object object of the picture i, and b i is the average value of the color values of the background object of the picture i.
An electronic device, comprising:

a housing, a processor, a memory, a circuit board, and a power supply circuit, wherein the circuit board is disposed inside the space enclosed by the housing, the processor and the memory are disposed on the circuit board; and the power supply circuit is used for each circuit of the electronic device or The device is powered; the memory is for storing executable program code; the processor runs the program corresponding to the executable program code by reading the executable program code stored in the memory for performing the following steps:

From the preset picture library, a plurality of sets of duplicate pictures are obtained by filtering, wherein each picture feature in each set of repeated pictures matches;

Save multiple sets of duplicate pictures in multiple folders, one of which corresponds to a set of duplicate pictures;

Calculating the picture contrast of each picture in each group of repeated pictures;

The picture with the highest contrast of the pictures in each group of duplicate pictures is used as the cover picture of the corresponding folder.
An application, wherein the application is configured to perform the image processing method according to any one of claims 1-5 at runtime.
A storage medium, characterized in that the storage medium is for storing executable program code, the executable program code being executed to perform the image processing method according to any one of claims 1-5.