WO2023045857A1 - Image processing method and apparatus, electronic device and storage medium - Google Patents

Abstract

The present application discloses an image processing method and apparatus, an electronic device and a storage medium, and belongs to the field of image processing. The method comprises: on the basis of a first image divided according to a preset size and the RGB value of each pixel point in the first image, obtaining a pixel block image corresponding to the first image, the pixel block image comprising M pixel block sub-images, and M being a positive integer; dividing the pixel block image into K color block regions on the basis of first color parameters of each pixel block sub-image, the first color parameters comprising hue and brightness, K being a positive integer, and K≤M; and determining, on the basis of the RGB average value of the color block regions, a filling color of each color block region from among N filling colors corresponding to the pixel block image to obtain a second image, wherein the filling colors are used to fill a corresponding color block region thereof, the N filling colors corresponding to the pixel block image are determined on the basis of a preset color category, the RGB value of each pixel block sub-image and second color parameters, the second color parameters comprise brightness and saturation, and N is a positive integer.

Description

Image processing method, device, electronic device and storage medium

Cross References to Related Applications

This application claims the priority of the Chinese patent application with the application number 202111123949.7 filed on September 24, 2021, and the title of the invention is "image processing method, device, electronic equipment and storage medium", which is fully incorporated by reference into this application .

technical field

The present application belongs to the field of image processing, and in particular relates to an image processing method, device, electronic equipment and storage medium.

Background technique

With the development of image processing technology and users' pursuit of image perception, the elements displayed in images are becoming more and more diversified, and the colors are becoming more and more abundant.

However, due to the differences in user aesthetics, users have higher and higher demands for personalized images, and the existing image processing methods still cannot meet the personalized needs of users.

Contents of the invention

The purpose of the embodiments of the present application is to provide an image processing method, device, electronic equipment, and storage medium, which can solve the problem that the existing image processing methods cannot meet the personalized needs of users.

In the first aspect, the embodiment of the present application provides an image processing method, the method comprising:

Based on the first image divided according to the preset size and the RGB values of each pixel in the first image, a pixel block image corresponding to the first image is obtained, wherein the pixel block image includes M pixel block sub- Image, M is a positive integer;

Divide the pixel block image into K color block regions based on the first color parameters of each of the pixel block sub-images, where the first color parameters include hue and lightness, K is a positive integer, K≤M;

Based on the RGB mean value of the color block area, the fill color of each of the color block areas is determined from the N fill colors corresponding to the pixel block image to obtain a second image, wherein the fill color is used to fill its corresponding The color block area, the N filling colors corresponding to the pixel block image are determined based on the preset color category, the RGB value of each of the pixel block sub-images and the second color parameter, and the second color parameter includes lightness and Saturation, N is a positive integer.

In a second aspect, an embodiment of the present application provides an image processing device, which includes:

The first dividing unit is configured to obtain a pixel block image corresponding to the first image based on the first image divided according to a preset size and the RGB values of each pixel in the first image, wherein the pixel block The image includes M pixel block sub-images, where M is a positive integer;

The second dividing unit is configured to divide the pixel block image into K color block regions based on the first color parameters of each of the pixel block sub-images, wherein the first color parameters include hue and lightness, and K is Positive integer, K≤M;

A color filling unit, configured to determine the fill color of each of the color block regions from the N fill colors corresponding to the pixel block image based on the RGB mean value of the color block region, to obtain a second image, wherein the fill The color is used to fill its corresponding color block area, and the N filling colors corresponding to the pixel block image are determined based on the preset color category, the RGB value of each of the pixel block sub-images and the second color parameter, and the first Two color parameters include lightness and saturation, and N is a positive integer.

In a third aspect, an embodiment of the present application provides an electronic device, the electronic device includes a processor, a memory, and a program or instruction stored in the memory and operable on the processor, and the program or instruction is The processor implements the steps of the method described in the first aspect when executed.

In a fourth aspect, an embodiment of the present application provides a readable storage medium, on which a program or an instruction is stored, and when the program or instruction is executed by a processor, the steps of the method described in the first aspect are implemented .

In the fifth aspect, the embodiment of the present application provides a chip, the chip includes a processor and a communication interface, the communication interface is coupled to the processor, and the processor is used to run programs or instructions, so as to implement the first aspect the method described.

In the embodiment of the present application, based on the RGB values of each pixel in the first image, the first image is divided into a plurality of pixel block sub-images to obtain a pixel block image corresponding to the first image, and based on each pixel in the pixel block image The degree of difference in lightness or hue between the block sub-images divides the pixel block image into multiple color block areas, and at the same time, based on the RGB value and preset color category of each pixel block sub-image in the pixel block image, it is determined that multiple color blocks belong to the same category The color pixel block sub-image set, so as to determine the few types of color categories with a large distribution range in the pixel block image, and then according to the lightness and saturation of each pixel block sub-image corresponding to each type of color, determine the color used for each color block The fill color for color filling in the area, so as to generate the second image through these few fill colors that can represent the main color and color distribution of the first image. At this time, the second image is only spliced by several solid color blocks , can give users a minimalist style visual effect with simple colors and eye-catching, realize the user's personalized style setting of the image, and meet the user's individual needs.

Description of drawings

FIG. 1 is a schematic flow diagram of an image processing method provided in an embodiment of the present application;

2 is a schematic diagram of a second image generated by the image processing method provided in the embodiment of the present application;

Fig. 3 is a schematic diagram of dividing the color block area provided by the embodiment of the present application;

Fig. 4 is a schematic display of the theme color logo provided by the embodiment of the present application;

FIG. 5 is a schematic structural diagram of an image processing device provided in an embodiment of the present application;

FIG. 6 is a schematic structural diagram of an electronic device provided by an embodiment of the present application;

FIG. 7 is a schematic diagram of a hardware structure of an electronic device implementing an embodiment of the present application.

Detailed ways

The following will clearly describe the technical solutions in the embodiments of the present application with reference to the drawings in the embodiments of the present application. Obviously, the described embodiments are part of the embodiments of the present application, but not all of them. All other embodiments obtained by persons of ordinary skill in the art based on the embodiments in this application belong to the protection scope of this application.

The terms "first", "second" and the like in the description and claims of the present application are used to distinguish similar objects, and are not used to describe a specific order or sequence. It should be understood that the terms so used are interchangeable under appropriate circumstances such that the embodiments of the application can be practiced in sequences other than those illustrated or described herein, and that references to "first," "second," etc. distinguish Objects are generally of one type, and the number of objects is not limited. For example, there may be one or more first objects. In addition, "and/or" in the specification and claims means at least one of the connected objects, and the character "/" generally means that the related objects are an "or" relationship.

The image processing method, device, electronic device, and storage medium provided by the embodiments of the present application will be described in detail below through specific embodiments and application scenarios with reference to the accompanying drawings.

The image processing method, device, electronic device, and storage medium provided by the embodiments of the present application will be described in detail below through specific embodiments and application scenarios with reference to the accompanying drawings.

Fig. 1 is a schematic flow chart of the image processing method provided by the embodiment of the present application, as shown in Fig. 1, including:

Step 101: Obtain a pixel block image corresponding to the first image based on the first image divided according to a preset size and the RGB values of each pixel in the first image, wherein the pixel block image includes M Pixel block sub-image, M is a positive integer;

Specifically, the first image described in the embodiment of the present application may be an image stored inside the electronic device, or an image received by the electronic device from the outside, which may include color images, grayscale images, and black and white images, and specifically It may be an image in the system theme stored in the electronic device or a captured image, which is not specifically limited in this application.

The preset size described in the embodiment of the present application may be a preset defined size. The first image divided according to the preset size is composed of M first sub-images of the preset size. Wherein, M is a positive integer.

In this embodiment of the application, the electronic device can be any terminal device that supports image display, such as mobile phones, touch-screen computers, handheld computers, vehicle-mounted terminals, wearable devices, PAD (Portable Android Device, tablet computer) and other devices. The embodiments are not specifically limited here.

The pixel block sub-image described in the embodiment of the present application calculates the average value of the RGB values of the pixels in each first sub-image in the first image, and adjusts all the pixels in each first sub-image to the obtained after the average.

The pixel block image described in the embodiment of the present application refers to an image composed of each pixel block sub-image after processing the M first sub-images in the first image into pixel block sub-images, wherein the pixel block image includes M Pixel block subimage.

Step 102, based on the first color parameters of each of the pixel block sub-images, divide the pixel block image into K color block regions, wherein the first color parameters include hue and lightness, K is a positive integer, K ≤ M;

Specifically, the first color parameter described in the embodiment of the present application includes hue and lightness, which are used to judge the color difference between sub-images of each pixel block in the pixel block image, so as to divide the color block area.

It should be noted that, in order to ensure the appearance of the finally generated color patch image, in the embodiment of the present application, at least two pixel block sub-images are included in the divided color patch area.

In the embodiment of this application, since the user can intuitively feel the difference between different colors through the hue and lightness, it is possible to choose to judge the color of the pixel block image according to the hue or lightness of each pixel block sub-image in the pixel block image. A pixel block sub-image area with obvious changes in hue or lightness, that is, in the pixel block sub-image area, the hue or lightness of adjacent pixel block sub-images has obvious differences, and the color categories corresponding to adjacent pixel block sub-images are obviously different, and then Divide the sub-image regions of pixel blocks that have hue or lightness differences everywhere in the pixel block image, so that K color block regions can be obtained. Exemplarily, K may take a value of 5, 7, 10, etc., which is specifically determined according to the color distribution in the actual first image, and the present application does not specifically limit it here.

The color block area described in the embodiment of the present application refers to an area determined by dividing the pixel block image into color blocks based on the first color parameter among the sub-images of each pixel block.

Step 103, based on the RGB mean value of the color block area, determine the fill color of each of the color block areas from the N fill colors corresponding to the pixel block image to obtain a second image, wherein the fill color is used for Filling its corresponding color block area, the N filling colors corresponding to the pixel block image are determined based on the preset color category, the RGB value of each of the pixel block sub-images and the second color parameter, and the second color parameter Including lightness and saturation, N is a positive integer.

Specifically, in the embodiment of the present application, the sub-images of each pixel block in the color block area are similar in color, but there are some differences. In order to determine the main color of the color block area, it is possible to calculate The average of the RGB values is determined.

The RGB mean value of the color block area described in the embodiment of the present application is obtained by calculating the average value of the RGB values of each pixel block sub-image in the color block area.

The preset color category described in the embodiment of this application refers to the preset color category of this application, for example, the preset color category can be red, orange, yellow, green, blue, blue, purple, black, white, gray10 There is a corresponding RGB value area for each color category, and the color category corresponding to each pixel block sub-image can be determined through the RGB value range corresponding to each color category and the RGB value of each pixel block sub-image.

The fill color described in the embodiment of the present application refers to the color used to fill each color block area.

The second image described in the embodiment of the present application refers to the color block image obtained by dividing the pixel block image into color block regions and filling each color block region with color.

The second color parameter described in the embodiment of the present application includes lightness or saturation, which is used for color expansion of the sub-image color of the pixel block selected from the pixel block image and having the main tone feature, so as to generate a filling color.

The N filling colors corresponding to the pixel block image described in the embodiment of this application refer to the colors that can represent the main color and color distribution of the pixel block image, which are based on the preset color category and the RGB value of each pixel block sub-image Determined with the second color parameter, its specific acquisition method can be, through the RGB value of each pixel block sub-image in the image and the RGB value corresponding to the preset color category, determine the corresponding value of each preset color category in the pixel block image Pixel block sub-images, so as to select the color categories that can represent the main hue and color distribution of the first image, and adjust the brightness or saturation of the pixel block sub-images corresponding to these color categories, so as to obtain N fill colors corresponding to the pixel block images , where N is a positive integer. Exemplarily, N may take a value of 4, 6, 12, etc., which is specifically determined according to actual computing requirements, and the present application does not specifically limit it here.

Further, according to the RGB average value of the color patch area and the RGB value of each filling color, the filling color used to fill each color patch area can be determined from the N filling colors corresponding to the pixel block image.

In the embodiment of the present application, after determining the fill color of each color block area, filling each fill color into the corresponding color block area, thereby obtaining the color block image, that is, the second image. The second image has a simple color block style, which can meet the individual needs of users.

Fig. 2 is a schematic diagram of a second image generated by the image processing method provided in the embodiment of the present application. Exemplarily, as shown in Fig. 2 , the second image is a color patch image, including 3 color patch areas, and in each color patch area The colors are all different, blue, orange and red.

In the embodiment of the present application, based on the RGB values of each pixel in the first image, the first image is divided into a plurality of pixel block sub-images to obtain a pixel block image corresponding to the first image, and based on each pixel in the pixel block image The degree of difference in lightness or hue between the block sub-images divides the pixel block image into multiple color block areas, and at the same time, based on the RGB value and preset color category of each pixel block sub-image in the pixel block image, it is determined that multiple color blocks belong to the same category The color pixel block sub-image set, so as to determine the few types of color categories with a large distribution range in the pixel block image, and then according to the lightness and saturation of each pixel block sub-image corresponding to each type of color, determine the color used for each color block The fill color for color filling in the area, so as to generate the second image through these few fill colors that can represent the main color and color distribution of the first image. At this time, the second image is only spliced by several solid color blocks , can give users a minimalist style visual effect with simple colors and eye-catching, realize the user's personalized style setting of the image, and meet the user's individual needs.

Optionally, before determining the fill color of each of the color block regions from the N fill colors corresponding to the pixel block image, the method further includes:

Based on the RGB value of each of the pixel block sub-images and the RGB value interval corresponding to each of the preset color categories, determine the pixel block sub-image set corresponding to each preset color category, wherein each of the pixel block sub-image sets comprising one or more pixel block sub-images;

Based on the number of pixel block sub-images in each of the pixel block sub-image sets, determine L target pixel block sub-image sets in each of the pixel block sub-image sets, where L is a positive integer;

determining a target pixel block sub-image in the target pixel block sub-image set based on a second color parameter of each pixel block sub-image in the target pixel block sub-image set;

Based on each sub-image of the target pixel block, generate N filling colors corresponding to the pixel block image.

Specifically, in the embodiment of the present application, by comparing the RGB value of each pixel block sub-image with the RGB value interval corresponding to each preset color category, each pixel block sub-image in the pixel block image is color-categorized, The preset color category corresponding to each pixel block sub-image is determined, so as to subsequently determine the pixel block sub-image that can represent the main tone and color distribution of the first image.

The pixel block sub-image set described in the embodiment of the present application refers to a set of pixel block sub-images belonging to the same color category, which may include one or more pixel block sub-images.

The target pixel block sub-image set described in the embodiment of the present application refers to L pixel block sub-image sets selected from each pixel block sub-image set, wherein the color category corresponding to the target pixel block sub-image set can represent the first pixel block sub-image set The main tone and color distribution of an image, L is a positive integer. Exemplarily, L may be 4, 5, 7, etc., which are specifically determined according to actual calculations, and the present application does not specifically limit it here.

In the embodiment of the present application, by determining the number of each pixel block sub-image set in the pixel block sub-image set, the distribution range of the preset color category corresponding to each pixel block sub-image set in the pixel block image can be determined. For example, the color category is The number of pixel block sub-images in the pixel block sub-image set corresponding to red is the largest, indicating that the color distribution range of red in the pixel block image is the largest; the color category is the pixel block sub-image set corresponding to yellow. The number of pixel block sub-images is the least, It shows that the color distribution range of yellow in the pixel block image is the smallest.

Further, based on the number of pixel block sub-images in each pixel block sub-image set, sort them from most to least, and filter out the first few pixel block sub-image sets with a large number of pixel block sub-images, so as to determine the representative A plurality of pixel block sub-image sets of the main tone and color distribution of the first image are obtained to obtain each target pixel block sub-image set.

The target pixel block sub-image described in the embodiment of the present application refers to the second color parameter of each pixel block sub-image in the target pixel block sub-image set, that is, lightness and saturation, which can represent the same preset color The color with the most balanced color parameters in the category.

Optionally, in this embodiment of the present application, by sorting the brightness and saturation of each pixel block sub-image in the target pixel block sub-image set, for example, the colors of each pixel block sub-image are sorted from dark to bright, by It is obtained by sorting according to the rule of gray to pure, and then selecting the pixel block sub-image at the center position from the sorted pixel block sub-images, and using the pixel block sub-image at the center position as the target pixel block sub-image. It can be understood that, in the set of L pixel block sub-images, L target pixel block sub-images may be determined.

In the embodiment of the present application, in order to make the color of the final fill color more balanced and ensure the color purity, after selecting the sub-image of the pixel block at the center position above, the saturation pre-saturation of the sub-image of the pixel block can be performed. processing to control the color saturation of the sub-image of the pixel block to be within a fixed preset saturation range to obtain the sub-image of the target pixel block.

Optionally, the preset saturation range can be selected as (10-50). If the color saturation of the selected pixel block sub-image at the center position exceeds the preset saturation range, that is, the color saturation of the pixel block sub-image When the saturation of the pixel block sub-image is less than the interval threshold 10, the saturation of the color of the pixel block sub-image is adjusted to 10, so that the adjusted pixel block sub-image is used as the target pixel block sub-image; When the saturation of is greater than the interval threshold 50, the saturation of the color of the pixel block sub-image is adjusted to 50, so that the adjusted pixel block sub-image is used as the target pixel block sub-image.

Further, after each target pixel block sub-image is obtained, the lightness or saturation of each target pixel block sub-image can be adjusted based on each target pixel block sub-image, and each target pixel block sub-image can be expanded into N color.

Optionally, the lightness of each target pixel block sub-image can be added or subtracted by 10, and the color of the target pixel block sub-image can be extended to 3 colors, thus, the L colors corresponding to the L target pixel block sub-images, Through the above lightness adjustment, 3L colors can be obtained, and the 3L colors can be used as the final fill color. At this time, N=3L; similarly, the saturation of each target pixel block sub-image can also be added or subtracted by 10, Add 20 or subtract 20 to the saturation of each target pixel block sub-image, so that the color of the target pixel block sub-image is expanded to 5 colors, thus, the L colors corresponding to the L target pixel block sub-images can pass the saturation Adjust the degree to obtain 5L colors, and use the 5L colors as the final fill color. At this time, N=5L.

In the embodiment of the present application, the color of each pixel block sub-image is classified based on the RGB value of each pixel block sub-image and the RGB value interval corresponding to each preset color category, and the pixel corresponding to each preset color category is obtained. Block sub-image sets to determine multiple pixel block sub-image sets with a large color distribution range in the pixel block image, and then determine the target pixels that can represent the main tone and color distribution of the first image from these pixel block sub-image sets A block sub-image, so as to generate multiple fill colors corresponding to the pixel block image based on the target pixel block sub-image, so that each fill color can still maintain the main tone and color distribution of the pixel block image.

Optionally, the dividing the pixel block image into K color block regions based on the first color parameters of each of the pixel block sub-images includes:

Based on the first color parameters of each of the pixel block sub-images in the pixel block image, determine the color block division lines in the pixel block image;

Divide the pixel block image into K color block regions according to the color block dividing line.

Specifically, in the embodiment of the present application, in combination with the color distribution regionalization feature of image display, each color in the pixel block image can be identified based on the first color parameter of each pixel block sub-image in the pixel block image, that is, hue or lightness The distribution area is to determine each color block dividing line in the pixel block image, where there may be one or more color block dividing lines.

The color block dividing line described in the embodiment of this application is generated based on the hue or lightness of each pixel block sub-image in the pixel block image, and the color is generated between the pixel block sub-images in which the hue or lightness of the pixel block image has continuous and obvious changes. Block dividing line.

Fig. 3 is a schematic diagram of dividing the color block area provided by the embodiment of the present application. As shown in Fig. 3, the pixel block image is divided by the hue or lightness of each pixel block sub-image in the pixel block image to obtain three color block areas .

In the embodiment of the present application, by determining the dividing line of the color block in the pixel block image, the sub-image regions of the pixel block with obvious brightness or hue differences in the pixel block image are divided to obtain K color block areas.

Optionally, select a point at any corner of the pixel block image as the origin, establish an X-Y axis plane coordinate system, start from the sub-image of the pixel block where the origin is located, first along the X-axis direction, and then start from the origin along the Y-axis direction , identify the hue or lightness of each pixel block sub-image one by one, determine the pixel block sub-image area with close hue or lightness, when there is a continuous and obvious difference in hue or lightness in the pixel block sub-image area adjacent to the pixel block sub-image area , for example, the adjacent pixel block sub-image areas belong to different preset color categories, and the color block dividing line between the adjacent pixel block sub-image areas is determined, so as to determine the adjacent pixel block images with obvious differences The color block division lines between the pixel block sub-image areas are finally divided into K color block areas, wherein the size of each color block area must exceed 2 pixel blocks.

Optionally, select any pixel block sub-image at the center of the pixel block image as the starting point, take the pixel block sub-image as the center of the circle, and carry out diffuse recognition of the hue or lightness between the pixel block sub-images around the pixel block image, Determine the pixel block sub-image area with similar hue or lightness, and when there is a continuous and obvious difference in hue or lightness between the adjacent pixel block sub-image areas of the pixel block sub-image area, determine the difference between the adjacent pixel block sub-image areas The color block division lines of the pixel block image are determined to determine the color block division lines between the adjacent pixel block sub-image areas with obvious differences in the pixel block image, and K color block areas are finally divided.

In the embodiment of the present application, based on the regionalization feature of the color distribution displayed in the image, by identifying the hue or lightness of each pixel block sub-image in the pixel block image, each color distribution area in the pixel block image is identified, and the color distribution area in the pixel block image is determined. The color block dividing line, and then divide the pixel block image into multiple color block areas according to each color block dividing line, so as to determine the main color distribution in the first image, which is beneficial to the color filling of the subsequent color block areas. Keep the original tonal style of the first image.

Optionally, determining the fill color of each of the color block regions from the N fill colors corresponding to the pixel block image based on the RGB mean value of the color block region includes:

The fill color corresponding to each color block area is determined based on the difference between the RGB mean value of each color block area and the RGB value of each of the fill colors.

Specifically, in the embodiment of the present application, after the pixel block is divided into the color block area and the fill color, it is necessary to determine the fill color corresponding to each color block area, so as to refill each color block area. In order to keep the main body tone of each color patch area unchanged, it can be realized by calculating the average value of the RGB values of all pixels in each color patch area and obtaining the RGB mean value of each color patch area.

Further, the difference between the RGB mean value of each color patch area and the RGB value of each fill color can be calculated, and the corresponding fill color when the difference is the smallest is determined, that is, the fill color is closest to the main color of the color patch area , so that the fill color is used as the color that fills the patch area. Thus, the fill color corresponding to each color block area can be determined.

Optionally, when color filling is performed on each color block area, the fill color corresponding to the target pixel block sub-image among the fill colors close to the color block area may be preferentially filled.

Optionally, when color filling the color block area, first identify the preset color category to which each pixel block sub-image in the color block area belongs, and compare the preset color category with all other color blocks belonging to the same preset color category If the color lightness of the color block area is lower, select a fill color with a similar color and a darker color from each fill color; if the color lightness of the color block area is higher, select a similar color from each fill color And fill with a brighter fill color.

In the embodiment of the present application, by calculating the difference between the RGB mean value of each color patch area and the RGB value of each fill color, from each fill color, determine the color that is closest to the main color of each color patch area fill color, so that the fill color corresponding to each color block area can be determined, so that the color block area still maintains the original tone style of the first image after color filling.

Optionally, the obtaining the pixel block image corresponding to the first image based on the first image divided according to the preset size and the RGB values of each pixel in the first image includes:

Determine M first sub-images based on the first image divided according to the preset size;

Obtaining a pixel block sub-image corresponding to the first sub-image based on the RGB mean value of the first sub-image;

Based on the pixel block sub-images corresponding to each of the first sub-images, a pixel block image corresponding to the first image is obtained.

Specifically, in the embodiment of the present application, after dividing the first image according to the preset size, M first sub-images can be obtained, where M is a positive integer, and M means that after dividing the first image according to the preset size The number of obtained first sub-images, M, can be 20, 40, 50, etc., which is specifically determined according to actual computing requirements, and the present application does not specifically limit it here.

Optionally, in units of pixels, the image size of the first image is 300×500, that is, the length of the first image is 300 pixels and the width is 500 pixels, then a preset size of 15×25 can be selected That is, the length is 15 pixels and the width is the preset size of 25 pixels, and the first image is divided to obtain 20 first sub-images; you can also choose the preset size of 6×10, that is, the length is 6 pixels The first image is divided into 50 first sub-images by dividing the first image with a preset size whose width is 10 pixels.

The RGB average value of the first sub-image described in the embodiment of the present application is obtained by calculating the average value of the RGB values of each pixel in the first sub-image.

By using the RGB average value of the first sub-image, each pixel in the first sub-image is adjusted to the same average value, so as to obtain a pixel block sub-image corresponding to the first sub-image.

Further, after the pixel block sub-image corresponding to each first sub-image is obtained, the pixel block image corresponding to the first image can be obtained.

In the embodiment of the present application, a plurality of first sub-images are obtained by dividing the first image according to a preset size, based on calculating the RGB mean value of the first sub-image, each first sub-image is pixelated, thereby obtaining the first sub-image The pixel block image corresponding to an image can make the generated pixel block image still maintain the main tone and color distribution of the first image.

Optionally, after determining the fill color of each of the color block regions from the N fill colors corresponding to the pixel block image to obtain the second image, the method further includes:

receiving a first input from the user;

In response to the first input, display T theme color identifications, wherein each of the theme color identifications corresponds to a theme color scheme, and the theme color scheme is based on each color patch area in the second image Generated by fill color, where T is a positive integer;

receiving a second input from the user on the target theme color identifier in the T theme color identifiers;

In response to the second input, adjust the color attribute of the system control identifier in the system interface according to the theme color scheme corresponding to the target theme color identifier.

Specifically, the system control identifiers described in the embodiments of the present application may specifically be image identifiers of system components, system modules, desktop components, applications, lock screens, etc. in the electronic device system, where the system components include multiple selection, single selection , box selection, progress bar, volume bar, cue point, button, index, text box selection and other electronic equipment system components; system modules include control center, notification center, system settings, alarm clock, calculator, compass, tape recorder and other applications The setting interface of the program; the system application program may specifically be an application program that comes with the electronic device, or an application program that the electronic device downloads and installs from outside.

The theme color scheme described in the embodiment of this application refers to the scheme used to adjust the color parameters of the system controls in the system interface, which can be specifically determined according to the fill color of each color block area in the second image. color scheme. Optionally, the fill color of each color block area in the second image can have five colors of red, yellow, blue, green, and purple, and a plurality of three color combinations can be selected according to these five colors, such as red, yellow, Blue is a group of combinations, yellow, blue, and green are a group of combinations, and yellow, blue, and purple are a group of combinations. From this, three theme color schemes can be determined, that is, the theme tone with red, yellow, and blue as the theme colors. Color scheme, theme color scheme with yellow, blue, and green as theme colors, theme color scheme with yellow, blue, and purple as theme colors.

The first input described in the embodiment of this application refers to the operation for generating a theme color scheme based on the fill color of each color block area in the second image. The first input may be the user's input to the second image operation, which Specifically, it may be a single-click operation, a double-click operation, or a long-press operation, and the like.

The theme color logo described in this embodiment of the application refers to the theme color image logo corresponding to the theme color scheme, and each theme color logo corresponds to a theme color scheme.

Optionally, the fill color of each color block area in the second image can have 6 colors of red, yellow, blue, green, purple, and white, and it can be set to select 4 combinations of 3 colors based on these 6 colors, such as Red, yellow, and white are a group combination, yellow, green, and white are a group combination, blue, purple, and white are a group combination, and red, blue, and white are a group combination, so four theme color schemes can be determined , that is, the theme color scheme with red, yellow, and white as the theme colors, the theme color scheme with yellow, green, and white as the theme colors, the theme color scheme with blue, purple, and white as the theme colors, and the theme color scheme with red, green, and white as the theme colors. The theme color scheme of blue and white as the theme colors. Therefore, according to the four theme color schemes, there can be four theme color identifications.

Further, after receiving the first input from the user, the electronic device will display T theme color logos in response to the first input, where T is a positive integer.

Fig. 4 is a schematic display diagram of the theme color logo provided by the embodiment of the present application. As shown in Fig. 4, there are 6 kinds of theme color logos displayed, which are respectively the first theme color logo 41, which correspond to red, orange, and white. The theme color scheme of theme color; the second theme color logo 42, which corresponds to the theme color scheme with orange, green and white as theme colors; the third theme color logo 43, which corresponds to blue, purple, White is the theme color scheme of the theme color; the fourth theme color logo 44 corresponds to the theme color scheme with red, blue and white as the theme colors; the fifth theme color logo 45 corresponds to orange, blue and white. The theme color scheme with blue and white as theme colors; the sixth theme color mark 46, which corresponds to the theme color scheme with blue, green and white as theme colors.

The color attribute described in the embodiment of the present application refers to the hue, saturation and lightness of the displayed color identified by the system control.

The target theme color identification described in the embodiment of this application refers to the theme color identification selected by the user from various theme color identifications, which is used to adjust the color attributes of each system control identification in the system interface based on the corresponding theme color scheme .

The second input described in the embodiment of this application refers to the operation for selecting the target theme color logo from the T theme color logos. The second input can be the user's input on the operation of the target theme color logo, which can be a single Click operation, double-click operation or long press operation, etc.

Further, receiving the user's second input on the target theme color identifier among the T theme color identifiers, for example, the user clicks to select or press and hold the target theme color identifier, and in response to the second input, the electronic device will correspond to the target theme color identifier according to the target theme color identifier. The theme color color attribute in the theme color scheme, adjust the color attributes of each system control logo in the system interface, such as system components, system modules, desktop components, applications or lock screen image logos, to be consistent with the theme color Color attribute, so as to realize the color re-matching of the image identification display of each system component, system module, desktop component, application program or lock screen.

In this embodiment of the application, according to the fill color of each color block area in the second image, a blue theme color scheme and a green theme color scheme can be generated, and when the user clicks on the green theme color scheme corresponding After the green theme color is marked, the green color scheme will be applied to each system control mark in the system interface, such as the progress bar image mark, the volume bar mark, the control center mark, the progress bar mark, and the display time mark , button image logos, etc. will all be adjusted to a green color scheme.

In the embodiment of this application, the theme color scheme generated according to the fill color of each color block area in the second image will also change the color matching of the system desktop application image logo and desktop component image logo, and the system reads the desktop application image The color of the logo, the color of the image logo is divided into intelligent color partitions, and the theme color in the theme color scheme is filled into the color partition to generate a desktop application image logo with a new color matching, and the old image logo is divided into Replacement; the theme color scheme of the desktop component image logo can change the color of the text logo in the desktop component and the color of the desktop component image logo. The desktop component will calculate the difference between its own color and the background color of the desktop, and choose a color different from the background color. Avoid blending the color of the desktop component's image logo with the color of the desktop background and making it indistinguishable.

In this embodiment of the application, according to the fill color of each color block area in the second image, a purple theme color scheme and a yellow theme color scheme can also be generated, and when the user clicks the corresponding After the purple theme color is identified, the desktop application image logo and desktop component image logo will be adjusted to the purple color scheme.

In this embodiment of the application, according to the theme color scheme generated by the fill color of each color block area in the second image, the color of the system lock screen image logo can also be changed, so that each image logo in the system lock screen interface can be adjusted to the theme The theme color corresponding to the color scheme.

In this embodiment of the application, when the theme color scheme for the lock screen image logo is the same as the theme color scheme for the desktop image logo, the toned color of the lock screen image logo is the same as the color of the desktop image logo after toning ; When the color scheme for the lock screen image logo is different from that of the desktop image logo, the color of the lock screen image logo is different from the color of the desktop image logo after toning, and the system can choose the lock screen The colors in the two theme color schemes corresponding to the image logo and the desktop image logo are used to color the lock screen image logo, for example, the yellow theme color scheme corresponding to the lock screen image logo and the blue theme color scheme corresponding to the desktop image logo The color schemes are all applied to the lock screen interface, so that the lock screen image logos in the interface include both yellow-based image logos and blue-based image logos.

In the embodiment of the present application, based on the fill color of each color block area in the second image, multiple theme color schemes are generated for users to choose a theme color scheme according to their personal needs, and realize the color identification of system controls in electronic devices Custom settings and adjustments can make the system control logo color change with different theme color schemes, meeting the personalized needs of users.

In the embodiment of this application, for pure color images, such as pure gray, pure white, pure black, pure green, etc., the preset color block area division method can be used for area division and color filling, and the pure color image can be divided into three , 4 or more color block areas, and then based on the pure color, generate a corresponding number of gradient colors to fill each divided color block area to generate a color block image.

Optionally, for the pure gray image, the preset color block area division method can be carried out to divide the three color block areas, and then fill the three color block areas with gray with three different RGB values, so that the pure gray image will not appear Instead of monotonous solid colors, minimalist color block patterns can be presented.

It should be noted that, the image processing method provided in the embodiment of the present application may be executed by an image processing device, or a control module in the image processing device for executing the image processing method. In the embodiment of the present application, the method for performing image processing by the image processing apparatus is taken as an example to describe the image processing device provided in the embodiment of the present application.

Fig. 5 is a schematic structural diagram of an image processing device provided in an embodiment of the present application, as shown in Fig. 5 , including:

The first dividing unit 510 is configured to obtain a pixel block image corresponding to the first image based on the first image divided according to a preset size and the RGB values of each pixel in the first image, wherein the pixel The block image includes M pixel block sub-images, where M is a positive integer;

The second dividing unit 520 is configured to divide the pixel block image into K color block regions based on the first color parameters of each of the pixel block sub-images, wherein the first color parameters include hue and lightness, K is a positive integer, K≤M;

The color filling unit 530 is configured to determine the fill color of each of the color block regions from the N fill colors corresponding to the pixel block image based on the RGB mean value of the color block region, and obtain a second image, wherein the The fill color is used to fill its corresponding color block area, and the N fill colors corresponding to the pixel block image are determined based on the preset color category, the RGB value of each of the pixel block sub-images and the second color parameter, the The second color parameter includes lightness and saturation, and N is a positive integer.

Optionally, the device also includes:

The first determining unit is configured to determine a set of pixel block sub-images corresponding to each preset color category based on the RGB values of each of the pixel block sub-images and the RGB value interval corresponding to each of the preset color categories, wherein each The pixel block sub-image set includes one or more pixel block sub-images;

The second determining unit is configured to determine L target pixel block sub-image sets in each of the pixel block sub-image sets based on the number of pixel block sub-image sets in each of the pixel block sub-image sets, wherein L is a positive integer;

A third determining unit, configured to determine a target pixel block sub-image in the target pixel block sub-image set based on a second color parameter of each pixel block sub-image in the target pixel block sub-image set;

A generating unit, configured to generate N fill colors corresponding to the pixel block image based on each of the target pixel block sub-images.

Optionally, the second dividing unit 520 is specifically further configured to:

Based on the first color parameters of each of the pixel block sub-images in the pixel block image, determine the color block division lines in the pixel block image;

Divide the pixel block image into K color block regions according to the color block dividing line.

Optionally, the coloring unit 530 is also specifically used for:

The fill color corresponding to each color block area is determined based on the difference between the RGB mean value of each color block area and the RGB value of each of the fill colors.

Optionally, the first dividing unit 510 is specifically further configured to:

Determine M first sub-images based on the first image divided according to the preset size;

Obtaining a pixel block sub-image corresponding to the first sub-image based on the RGB mean value of the first sub-image;

Based on the pixel block sub-images corresponding to each of the first sub-images, a pixel block image corresponding to the first image is obtained.

Optionally, the device also includes:

a first input unit, configured to receive a first input from a user;

The first response unit is configured to display T theme color identifications in response to the first input, wherein each of the theme color identifications corresponds to a theme color scheme, and the theme color scheme is based on the second Generated by the filling color of each color block area in the image, where T is a positive integer;

The second input unit is configured to receive a second input from the user on the target theme color identifier in the T theme color identifiers;

The second response unit is configured to adjust the color attribute of the system control identifier in the system interface according to the theme color scheme corresponding to the target theme color identifier in response to the second input.

In the embodiment of the present application, based on the RGB values of each pixel in the first image, the first image is divided into a plurality of pixel block sub-images to obtain a pixel block image corresponding to the first image, and based on each pixel in the pixel block image The degree of difference in lightness or hue between the block sub-images divides the pixel block image into multiple color block areas, and at the same time, based on the RGB value and preset color category of each pixel block sub-image in the pixel block image, it is determined that multiple color blocks belong to the same category The color pixel block sub-image set, so as to determine the few types of color categories with a large distribution range in the pixel block image, and then according to the lightness and saturation of each pixel block sub-image corresponding to each type of color, determine the color used for each color block The fill color for color filling in the area, so as to generate the second image through these few fill colors that can represent the main color and color distribution of the first image. At this time, the second image is only spliced by several solid color blocks , can give users a minimalist style visual effect with simple colors and eye-catching, realize the user's personalized style setting of the image, and meet the user's individual needs.

The image processing apparatus in the embodiment of the present application may be a device, or may be a component, an integrated circuit, or a chip in a terminal. The device may be a mobile electronic device or a non-mobile electronic device. Exemplarily, the mobile electronic device may be a mobile phone, a tablet computer, a notebook computer, a handheld computer, a vehicle electronic device, a wearable device, an ultra-mobile personal computer (ultra-mobile personal computer, UMPC), a netbook or a personal digital assistant (personal digital assistant). assistant, PDA), etc., non-mobile electronic devices can be servers, network attached storage (Network Attached Storage, NAS), personal computer (personal computer, PC), television (television, TV), teller machine or self-service machine, etc., this application Examples are not specifically limited.

The image processing device in the embodiment of the present application may be a device with an operating system. The operating system may be an Android (Android) operating system, an ios operating system, or other possible operating systems, which are not specifically limited in this embodiment of the present application.

The image processing apparatus provided in the embodiment of the present application can realize various processes realized by the method embodiments in FIG. 1 to FIG. 6 , and details are not repeated here to avoid repetition.

Optionally, FIG. 6 is a schematic structural diagram of an electronic device provided by an embodiment of the present application. As shown in FIG. And the program or instruction that can run on the processor 601, when the program or instruction is executed by the processor 601, realizes the various processes of the above-mentioned image processing method embodiment, and can achieve the same technical effect, in order to avoid repetition, it is not described here Let me repeat.

It should be noted that the electronic devices in the embodiments of the present application include the above-mentioned mobile electronic devices and non-mobile electronic devices.

FIG. 7 is a schematic diagram of a hardware structure of an electronic device implementing an embodiment of the present application.

The electronic device 700 includes, but is not limited to: a radio frequency unit 701, a network module 702, an audio output unit 703, an input unit 704, a sensor 705, a display unit 706, a user input unit 707, an interface unit 708, a memory 709, and a processor 710, etc. part.

Those skilled in the art can understand that the electronic device 700 can also include a power supply (such as a battery) for supplying power to various components, and the power supply can be logically connected to the processor 710 through the power management system, so that the management of charging, discharging, and function can be realized through the power management system. Consumption management and other functions. The structure of the electronic device shown in FIG. 7 does not constitute a limitation to the electronic device. The electronic device may include more or fewer components than shown in the figure, or combine some components, or arrange different components, and details will not be repeated here. .

Wherein, the processor 710 is configured to obtain a pixel block image corresponding to the first image based on the first image divided according to a preset size and the RGB values of each pixel in the first image, wherein the pixel block The image includes M pixel block sub-images, where M is a positive integer;

The processor 710 is configured to divide the pixel block image into K color block regions based on the first color parameters of each of the pixel block sub-images, wherein the first color parameters include hue and lightness, and K is a positive integer , K≤M;

The processor 710 is configured to determine the fill color of each of the color block regions from the N fill colors corresponding to the pixel block image based on the RGB mean value of the color block region, to obtain a second image, wherein the fill color For filling the corresponding color block area, the N filling colors corresponding to the pixel block image are determined based on the preset color category, the RGB value of each of the pixel block sub-images and the second color parameter, and the second Color parameters include lightness and saturation, and N is a positive integer.

The processor 710 is configured to determine a set of pixel block sub-images corresponding to each preset color category based on the RGB values of each of the pixel block sub-images and the RGB value range corresponding to each of the preset color categories, wherein each of the The set of pixel block sub-images includes one or more pixel block sub-images;

Based on the number of pixel block sub-images in each of the pixel block sub-image sets, determine L target pixel block sub-image sets in each of the pixel block sub-image sets, where L is a positive integer;

determining a target pixel block sub-image in the target pixel block sub-image set based on a second color parameter of each pixel block sub-image in the target pixel block sub-image set;

Based on each sub-image of the target pixel block, generate N filling colors corresponding to the pixel block image.

The processor 710 is configured to determine color block dividing lines in the pixel block image based on the first color parameters of each of the pixel block sub-images in the pixel block image;

Divide the pixel block image into K color block regions according to the color block dividing line.

The processor 710 is configured to determine the fill color corresponding to each of the color block areas based on the difference between the RGB mean value of each of the color block areas and the RGB value of each of the fill colors.

The processor 710 is configured to determine M first sub-images based on the first image divided according to a preset size;

Obtaining a pixel block sub-image corresponding to the first sub-image based on the RGB mean value of the first sub-image;

Based on the pixel block sub-images corresponding to each of the first sub-images, a pixel block image corresponding to the first image is obtained.

The user input unit 707 is configured to receive a first input from the user;

The display unit 706 is configured to display T theme color identifications in response to the first input, wherein each of the theme color identifications corresponds to a theme color scheme, and the theme color scheme is based on the theme in the second image Generated by the fill color of each color block area, where T is a positive integer;

The user input unit 707 is also configured to receive a second input from the user on the target theme color identifier in the T theme color identifiers;

The processor 710 is configured to, in response to the second input, adjust the color attribute of the system control logo in the system interface according to the theme color scheme corresponding to the target theme color logo.

In the embodiment of the present application, based on the RGB values of each pixel in the first image, the first image is divided into a plurality of pixel block sub-images to obtain a pixel block image corresponding to the first image, and based on each pixel in the pixel block image The degree of difference in lightness or hue between the block sub-images divides the pixel block image into multiple color block areas, and at the same time, based on the RGB value and preset color category of each pixel block sub-image in the pixel block image, it is determined that multiple color blocks belong to the same category The color pixel block sub-image set, so as to determine the few types of color categories with a large distribution range in the pixel block image, and then according to the lightness and saturation of each pixel block sub-image corresponding to each type of color, determine the color used for each color block The fill color for color filling in the area, so as to generate the second image through these few fill colors that can represent the main color and color distribution of the first image. At this time, the second image is only spliced by several solid color blocks , can give users a minimalist style visual effect with simple colors and eye-catching, realize the user's personalized style setting of the image, and meet the user's individual needs.

It should be understood that, in the embodiment of the present application, the input unit 704 may include a graphics processor (Graphics Processing Unit, GPU) 7041 and a microphone 7042, and the graphics processor 7041 is used for the image capture device ( Such as the image data of the still picture or video obtained by the camera) for processing. The display unit 706 may include a display panel 7061, and the display panel 7061 may be configured in the form of a liquid crystal display, an organic light emitting diode, or the like. The user input unit 707 includes a touch panel 7071 and other input devices 7072 . The touch panel 7071 is also called a touch screen. The touch panel 7071 may include two parts, a touch detection device and a touch controller. Other input devices 7072 may include, but are not limited to, physical keyboards, function keys (such as volume control buttons, switch buttons, etc.), trackballs, mice, and joysticks, which will not be described in detail here. Memory 709 may be used to store software programs as well as various data, including but not limited to application programs and operating systems. The processor 710 may integrate an application processor and a modem processor, wherein the application processor mainly processes an operating system, user interface, application program, etc., and the modem processor mainly processes wireless communication. It can be understood that the foregoing modem processor may not be integrated into the processor 710 .

The embodiment of the present application also provides a readable storage medium, the readable storage medium stores a program or an instruction, and when the program or instruction is executed by a processor, each process of the above-mentioned image processing method embodiment is realized, and can achieve the same To avoid repetition, the technical effects will not be repeated here.

Wherein, the processor is the processor in the electronic device described in the above embodiments. The readable storage medium includes computer readable storage medium, such as computer read-only memory (Read-Only Memory, ROM), random access memory (Random Access Memory, RAM), magnetic disk or optical disk, etc.

The embodiment of the present application further provides a chip, the chip includes a processor and a communication interface, the communication interface is coupled to the processor, and the processor is used to run programs or instructions to implement the above image processing method embodiment Each process can achieve the same technical effect, so in order to avoid repetition, it will not be repeated here.

It should be understood that the chips mentioned in the embodiments of the present application may also be called system-on-chip, system-on-chip, system-on-a-chip, or system-on-a-chip.

It should be noted that, in this document, the term "comprising", "comprising" or any other variation thereof is intended to cover a non-exclusive inclusion such that a process, method, article or apparatus comprising a set of elements includes not only those elements, It also includes other elements not expressly listed, or elements inherent in the process, method, article, or device. Without further limitations, an element defined by the phrase "comprising a ..." does not preclude the presence of additional identical elements in the process, method, article, or apparatus comprising that element. In addition, it should be pointed out that the scope of the methods and devices in the embodiments of the present application is not limited to performing functions in the order shown or discussed, and may also include performing functions in a substantially simultaneous manner or in reverse order according to the functions involved. Functions are performed, for example, the described methods may be performed in an order different from that described, and various steps may also be added, omitted, or combined. Additionally, features described with reference to certain examples may be combined in other examples.

Through the description of the above embodiments, those skilled in the art can clearly understand that the methods of the above embodiments can be implemented by means of software plus a necessary general-purpose hardware platform, and of course also by hardware, but in many cases the former is better implementation. Based on such an understanding, the technical solution of the present application can be embodied in the form of computer software products, which are stored in a storage medium (such as ROM/RAM, magnetic disk, etc.) , optical disc), including several instructions to enable a terminal (which may be a mobile phone, computer, server, or network device, etc.) to execute the methods described in various embodiments of the present application.

The embodiments of the present application have been described above in conjunction with the accompanying drawings, but the present application is not limited to the above-mentioned specific implementations. The above-mentioned specific implementations are only illustrative and not restrictive. Those of ordinary skill in the art will Under the inspiration of this application, without departing from the purpose of this application and the scope of protection of the claims, many forms can also be made, all of which belong to the protection of this application.

Claims (17)

1. An image processing method, comprising:

   Based on the first image divided according to the preset size and the RGB values of each pixel in the first image, a pixel block image corresponding to the first image is obtained, wherein the pixel block image includes M pixel block sub- Image, M is a positive integer;

   Divide the pixel block image into K color block regions based on the first color parameters of each of the pixel block sub-images, where the first color parameters include hue and lightness, K is a positive integer, and K≤M;

   Based on the RGB mean value of the color block area, the fill color of each of the color block areas is determined from the N fill colors corresponding to the pixel block image to obtain a second image, wherein the fill color is used to fill its corresponding The color block area, the N filling colors corresponding to the pixel block image are determined based on the preset color category, the RGB value of each of the pixel block sub-images and the second color parameter, and the second color parameter includes lightness and Saturation, N is a positive integer.
2. The image processing method according to claim 1, wherein, before determining the fill color of each of the color block regions from the N fill colors corresponding to the pixel block image, further comprising:

   Based on the RGB value of each of the pixel block sub-images and the RGB value interval corresponding to each of the preset color categories, determine the pixel block sub-image set corresponding to each preset color category, wherein each of the pixel block sub-image sets comprising one or more pixel block sub-images;

   Based on the number of pixel block sub-images in each of the pixel block sub-image sets, determine L target pixel block sub-image sets in each of the pixel block sub-image sets, where L is a positive integer;

   determining a target pixel block sub-image in the target pixel block sub-image set based on a second color parameter of each pixel block sub-image in the target pixel block sub-image set;

   Based on each sub-image of the target pixel block, generate N filling colors corresponding to the pixel block image.
3. The image processing method according to claim 1, wherein said dividing the pixel block image into K color block regions based on the first color parameters of each of the pixel block sub-images comprises:

   Based on the first color parameters of each of the pixel block sub-images in the pixel block image, determine the color block division lines in the pixel block image;

   Divide the pixel block image into K color block regions according to the color block dividing line.
4. The image processing method according to claim 1, wherein, based on the RGB mean value of the color block area, determining the fill color of each of the color block areas from the N fill colors corresponding to the pixel block image includes :

   The fill color corresponding to each color block area is determined based on the difference between the RGB mean value of each color block area and the RGB value of each of the fill colors.
5. The image processing method according to claim 1, wherein the pixel block corresponding to the first image is obtained based on the first image divided according to the preset size and the RGB values of each pixel in the first image images, including:

   Determine M first sub-images based on the first image divided according to the preset size;

   Obtaining a pixel block sub-image corresponding to the first sub-image based on the RGB mean value of the first sub-image;

   Based on the pixel block sub-images corresponding to each of the first sub-images, a pixel block image corresponding to the first image is obtained.
6. The image processing method according to claim 1, wherein, after determining the fill color of each of the color block regions from the N fill colors corresponding to the pixel block image and obtaining the second image, further comprising:

   receiving a first input from the user;

   In response to the first input, display T theme color identifications, wherein each of the theme color identifications corresponds to a theme color scheme, and the theme color scheme is based on each color patch area in the second image Generated by fill color, where T is a positive integer;

   receiving a second input from the user on the target theme color identifier in the T theme color identifiers;

   In response to the second input, adjust the color attribute of the system control identifier in the system interface according to the theme color scheme corresponding to the target theme color identifier.
7. An image processing device, comprising:

   The first dividing unit is configured to obtain a pixel block image corresponding to the first image based on the first image divided according to a preset size and the RGB values of each pixel in the first image, wherein the pixel block The image includes M pixel block sub-images, where M is a positive integer;

   The second dividing unit is configured to divide the pixel block image into K color block regions based on the first color parameters of each of the pixel block sub-images, wherein the first color parameters include hue and lightness, and K is Positive integer, K≤M;

   A color filling unit, configured to determine the fill color of each of the color block regions from the N fill colors corresponding to the pixel block image based on the RGB mean value of the color block region, to obtain a second image, wherein the fill The color is used to fill its corresponding color block area, and the N filling colors corresponding to the pixel block image are determined based on the preset color category, the RGB value of each of the pixel block sub-images and the second color parameter, and the first Two color parameters include lightness and saturation, and N is a positive integer.
8. The image processing device according to claim 7, wherein the device further comprises:

   The first determining unit is configured to determine a set of pixel block sub-images corresponding to each preset color category based on the RGB values of each of the pixel block sub-images and the RGB value interval corresponding to each of the preset color categories, wherein each The pixel block sub-image set includes one or more pixel block sub-images;

   The second determining unit is configured to determine L target pixel block sub-image sets in each of the pixel block sub-image sets based on the number of pixel block sub-image sets in each of the pixel block sub-image sets, wherein L is a positive integer;

   A third determining unit, configured to determine a target pixel block sub-image in the target pixel block sub-image set based on a second color parameter of each pixel block sub-image in the target pixel block sub-image set;

   A generating unit, configured to generate N fill colors corresponding to the pixel block image based on each of the target pixel block sub-images.
9. The image processing device according to claim 7, wherein the second dividing unit is specifically further configured to:

   Based on the first color parameters of each of the pixel block sub-images in the pixel block image, determine the color block division lines in the pixel block image;

   Divide the pixel block image into K color block regions according to the color block dividing line.
10. The image processing device according to claim 7, wherein the coloring unit is further configured to:

    The fill color corresponding to each color block area is determined based on the difference between the RGB mean value of each color block area and the RGB value of each of the fill colors.
11. The image processing device according to claim 7, wherein the first dividing unit is specifically further configured to:

    Determine M first sub-images based on the first image divided according to the preset size;

    Obtaining a pixel block sub-image corresponding to the first sub-image based on the RGB mean value of the first sub-image;

    Based on the pixel block sub-images corresponding to each of the first sub-images, a pixel block image corresponding to the first image is obtained.
12. The image processing device according to claim 7, wherein the device further comprises:

    a first input unit, configured to receive a first input from a user;

    The first response unit is configured to display T theme color identifications in response to the first input, wherein each of the theme color identifications corresponds to a theme color scheme, and the theme color scheme is based on the second Generated by the filling color of each color block area in the image, where T is a positive integer;

    The second input unit is configured to receive a second input from the user on the target theme color identifier in the T theme color identifiers;

    The second response unit is configured to adjust the color attribute of the system control identifier in the system interface according to the theme color scheme corresponding to the target theme color identifier in response to the second input.
13. An electronic device, comprising a processor, a memory, and a program or instruction stored on the memory and operable on the processor, when the program or instruction is executed by the processor, claims 1-6 are realized The steps of any one of the image processing methods.
14. A readable storage medium, on which a program or instruction is stored, and when the program or instruction is executed by a processor, the steps of the image processing method according to any one of claims 1-6 are realized.
15. A chip, the chip includes a processor and a communication interface, the communication interface is coupled to the processor, the processor is used to run programs or instructions, and realize the image processing as described in any one of claims 1-6 method steps.
16. A computer program product, the program product is executed by at least one processor to implement the steps of the image processing method according to any one of claims 1-6.
17. An electronic device, comprising the electronic device configured to execute the steps of the image processing method according to any one of claims 1-6.

Images