WO2020042467A1

WO2020042467A1 - Image compression method, apparatus and device, and computer-readable storage medium

Info

Publication number: WO2020042467A1
Application number: PCT/CN2018/122718
Authority: WO
Inventors: 许剑勇
Original assignee: 深圳壹账通智能科技有限公司
Priority date: 2018-08-31
Filing date: 2018-12-21
Publication date: 2020-03-05
Also published as: CN109685861B; CN109685861A

Abstract

An image compression method, an image compression apparatus and an image compression device, and a computer-readable storage medium, wherein same relate to the technical field of artificial intelligence. The method comprises: segmenting, according to a preset segmentation rule, an image to be compressed to obtain several sub-images to be compressed (S10); determining, on the basis of a preset compression rule, the optimal compression methods respectively corresponding to the several sub-images to be compressed (S20); and compressing, on the basis of the optimal compression methods, the several sub-images to be compressed (S30). The method improves the compression rate of an image.

Description

Picture compression method, device, equipment and computer-readable storage medium

This application claims the priority of a Chinese patent application filed with the Chinese Patent Office on August 31, 2018, with application number 201811016766.3, and the invention name is "Picture Compression Method, Apparatus, Equipment, and Computer-readable Storage Media" Citations are incorporated in the application.

Technical field

The present application relates to the technical field of picture processing, and in particular, to a picture compression method, device, device, and computer-readable storage medium.

Background technique

As we all know, the size of the APP itself is the focus of optimization for mobile developers, and the pictures in the APP occupy a large part of the resources. At present, the compression method for the large pictures in the APP is relatively simple, usually jpeg, png, webp or With single compression methods such as svg, the compression rate is limited.

Summary of the Invention

The main purpose of this application is to provide a picture compression method, device, device, and computer-readable storage medium, which aim to solve the technical problem of low picture compression rate caused by a single picture compression method in the prior art.

To achieve the above object, the present application provides a picture compression method. The picture compression method includes:

Segment the compressed image according to a preset segmentation rule to obtain several sub-images to be compressed;

Determining an optimal compression method corresponding to each of the sub-graphs to be compressed based on a preset compression rule;

Based on the optimal compression method, the sub-graphs to be compressed are compressed.

Optionally, the step of segmenting the compressed image according to a preset segmentation rule to obtain several sub-images to be compressed includes:

Obtaining a color distribution of a picture to be compressed, and receiving a segmentation instruction based on the color distribution;

A segmentation line in the picture to be compressed is determined based on the segmentation instruction, and the segmentation line is adjusted according to a preset algorithm to divide the picture to be compressed into a plurality of sub-pictures to be compressed.

Optionally, the segmentation line includes a segmentation horizontal line and a segmentation vertical line, and the segmentation line in the picture to be compressed is determined based on the segmentation instruction, and the segmentation is performed according to a preset algorithm. The steps of adjusting the line to divide the picture to be compressed into several sub-pictures to be compressed include:

Determine a segmentation line in the picture to be compressed based on the segmentation instruction, and adjust the segmentation horizontal line up and down and / or adjust the segmentation vertical line left and right according to a preset algorithm, so as to The segmentation horizontal line and / or the segmentation vertical line divide the picture to be compressed into several sub-pictures to be compressed, wherein the calculation formula of the preset algorithm is:

ΔR = C _{1, R} -C _{2, R}

ΔG = C _{1, G} -C _{2, G}

ΔB = C _{1, B} -C _{2, B}

Wherein, C ₁ and C ₂ represent pixel colors 1 and 2; C _1R and C _2R represent R channels of colors 1 and 2; C _1G and C _2G represent G channels of colors 1 and 2; C _1B and C _2B Represents the B channels of colors 1 and 2.

Optionally, after the step of segmenting the compressed picture according to a preset segmentation rule to obtain several sub-images to be compressed, the method further includes:

Record position information of the sub-pictures to be compressed in the picture to be compressed.

Optionally, the step of determining an optimal compression method corresponding to each of the sub-graphs to be compressed based on a preset compression rule includes:

Obtaining preset compression rules and characteristic parameters of the sub-graphs to be compressed;

A compression rule corresponding to the several sub-graphs to be compressed is determined based on the feature parameters, and an optimal compression method for the several sub-graphs to be compressed is determined according to the compression rules.

Optionally, the optimal compression method includes a compression quality and a compression format, and the step of compressing the sub-graphs to be compressed based on the optimal compression method includes:

A compression algorithm corresponding to the sub-pictures to be compressed is determined based on the compression quality and compression format, and the sub-pictures to be compressed are compressed based on the compression algorithm.

Optionally, after the step of compressing the sub-graphs to be compressed based on the optimal compression method, the method further includes:

Saving the compressed sub-picture to be compressed, and decompressing the compressed sub-picture to be compressed when a display instruction based on the picture to be compressed is detected;

Based on the recorded position information, the decompressed to-be-compressed sub-pictures are combined to obtain the to-be-compressed picture, and the combined to-be-compressed picture is displayed.

In addition, in order to achieve the foregoing object, the present application further provides a picture compression device, where the picture compression device includes:

An image segmentation module, configured to segment the compressed image according to a preset segmentation rule to obtain several sub-images to be compressed;

A compression method determining module, configured to determine an optimal compression method corresponding to each of the sub-graphs to be compressed based on a preset compression rule;

A picture compression module is configured to compress the sub-pictures to be compressed based on the optimal compression method.

In addition, in order to achieve the above object, the present application also provides a picture compression device, the picture compression device includes: a memory, a processor, and computer-readable instructions stored on the memory and executable on the processor, When the computer-readable instructions are executed by the processor, the steps of the picture compression method described above are implemented.

In addition, in order to achieve the above object, the present application also provides a computer-readable storage medium, where the computer-readable instructions are stored, and when the computer-readable instructions are executed by a processor, the above-mentioned implementation is implemented. Steps of the image compression method.

A picture compression method proposed in the present application first divides a picture to be compressed based on a preset cut rule, divides it into several different sub-pictures to be compressed, and then determines several An optimal compression method for compressing a subgraph is compressed and compressed based on the optimal compression method. The picture compression method proposed in the present application, by segmenting the large picture to be compressed and adopting an optimal compression method for each sub-picture to be compressed, makes the total size of the compressed picture smaller than the large picture obtained by using a certain method alone. The earth has improved the compression rate of pictures and reduced the size of the app.

BRIEF DESCRIPTION OF THE DRAWINGS

FIG. 1 is a schematic diagram of a hardware structure of a picture compression device involved in a solution according to an embodiment of the present application;

2 is a schematic flowchart of a first embodiment of a picture compression method according to the present application;

3 is a detailed flowchart of step S10 in FIG. 2;

4 is a schematic flowchart of a second embodiment of a picture compression method of the present application;

5 is a schematic flowchart of a third embodiment of a picture compression method of the present application;

FIG. 6 is a schematic diagram of functional modules of a first embodiment of a picture compression device of the present application.

The implementation, functional features and advantages of the purpose of this application will be further described with reference to the embodiments and the drawings.

detailed description

It should be understood that the specific embodiments described herein are only used to explain the application, and are not used to limit the application.

The main solution of the embodiment of the present application is: segmenting the compressed picture according to a preset segmentation rule to obtain a plurality of sub-images to be compressed; and based on the preset compression rule, determining the respective corresponding optimal sub-images. Compression method: Based on the optimal compression method, the plurality of sub-graphs to be compressed are compressed. The technical solution of the embodiment of the present application solves the technical problem of low picture compression rate caused by a single picture compression method in the prior art.

As shown in FIG. 1, FIG. 1 is a schematic diagram of a hardware structure of a picture compression device involved in a solution of an embodiment of the present application.

The picture compression method according to the embodiment of the present application is mainly applied to a picture compression device, and the picture compression device may be a device with display and processing functions such as a PC, a portable computer, and a mobile terminal.

As shown in FIG. 1, the picture compression device may include a processor 1001, such as a CPU, a communication bus 1002, a user interface 1003, a network interface 1004, and a memory 1005. The communication bus 1002 is used to implement connection and communication between these components. The user interface 1003 may include a display, an input unit such as a keyboard, and the optional user interface 1003 may further include a standard wired interface and a wireless interface. The network interface 1004 may optionally include a standard wired interface and a wireless interface (such as a WI-FI interface). The memory 1005 may be a high-speed RAM memory or a non-volatile memory (for example, a magnetic disk memory). The memory 1005 may optionally be a storage device independent of the foregoing processor 1001.

Those skilled in the art can understand that the structure of the picture compression device shown in FIG. 1 does not constitute a limitation on the picture compression device, and may include more or fewer parts than those shown in the figure, or combine some parts, or different parts. Layout.

As shown in FIG. 1, the memory 1005 as a computer storage medium may include an operating system, a network communication module, a user interface module, and computer-readable instructions. In FIG. 1, the network interface 1004 is mainly used to connect to the background server and perform data communication with the background server; the user interface 1003 is mainly used to connect to the client (user) and perform data communication with the client; It may be provided in a picture compression device, which calls the computer-readable instructions stored in the memory 1005 through the processor 1001 and executes the picture compression method provided in the embodiment of the present application.

Based on the above hardware structure, an embodiment of the picture compression method of the present application is proposed.

Referring to FIG. 2, FIG. 2 is a schematic flowchart of a first embodiment of a picture compression method of the present application. In this embodiment, the method includes:

Step S10: Segment the compressed image according to a preset segmentation rule to obtain several sub-images to be compressed;

Step S20: Determine an optimal compression method corresponding to each of the sub-graphs to be compressed based on a preset compression rule;

Step S30: Compress the sub-graphs to be compressed based on the optimal compression method.

In order to solve the problem of low picture compression rate caused by a single picture compression method and increase the picture compression rate to reduce the size of the APP, this application proposes a picture compression method. First, the compressed picture is segmented based on a preset segmentation rule. Divide it into several different sub-graphs to be compressed, and then determine the optimal compression method for several sub-graphs to be compressed according to preset compression rules, and compress them based on the optimal compression method to achieve higher Picture compression ratio.

In this embodiment, the compressed image is first segmented according to a preset segmentation rule. Specifically, the preset segmentation rule may be based on a color change in the image to be compressed. As shown in FIG. 3, the step S10 includes :

Step S11: Obtain a color distribution of a picture to be compressed, and receive a segmentation instruction based on the color distribution;

Step S12: Determine a segmentation line in the picture to be compressed based on the segmentation instruction, and adjust the segmentation line according to a preset algorithm, so as to divide the picture to be compressed into several sub-compressors. Illustration.

Specifically, in this embodiment, by obtaining the color distribution in the picture to be compressed, and first manually dividing it into several different blocks, the division is based on the color change in the picture to be compressed, that is, the color Block changes are divided, and the color block gap in the picture to be compressed is relatively large and divided into different blocks. For example, if there is a portrait in the picture to be compressed, and the other parts are scenery images, the color blocks of the portrait part and other scenery image parts change greatly, then by dividing the portrait and other scenery images, two or more to be compressed can be obtained. Submap.

It can be understood that, in addition to the above-mentioned rough division of the pictures to be compressed manually, a corresponding program can also be used to obtain the color distribution in the picture to be compressed, and based on the color distribution, different colors are located. The blocks are divided to make a preliminary division of the compressed images.

Further, based on the color distribution in the picture to be compressed, after the preliminary division of the picture to be compressed, the division of the blocks is further adjusted, and specifically, it is achieved by calculating the color distance.

Specifically, the step S12 includes:

Step a, determining a segmentation line in the picture to be compressed based on the segmentation instruction, and adjusting the segmentation horizontal line up and down and / or adjusting the segmentation vertical line left and right according to a preset algorithm, In order to divide the to-be-compressed picture into several to-be-compressed sub-pictures based on the sliced horizontal line and / or the sliced vertical line, wherein the calculation formula of the preset algorithm is:

ΔR = C _{1, R} -C _{2, R}

ΔG = C _{1, G} -C _{2, G}

ΔB = C _{1, B} -C _{2, B}

Specifically, the segmentation line for segmenting the compressed image includes a segmentation horizontal line and a segmentation vertical line. By roughly dividing the image to be compressed, it is divided into several blocks containing different color blocks. Setting the initial value of the tangent line can greatly improve the efficiency of subsequent adjustments to the tangent line. It can be understood that the manner of segmenting the compressed picture is segmented by horizontal or vertical lines, so each block obtained after segmentation is a regular square block. Further, the divided horizontal or vertical lines are adjusted based on a preset algorithm, so that the division of the blocks is more accurate. The specific ways to adjust the split horizontal or vertical lines are as follows:

The color distance refers to the difference between two colors. Generally, the larger the color distance, the greater the difference between the two colors; otherwise, the closer the two colors are. By calculating the color distance of the horizontal line or vertical line above and below or left and right, the division line can be adjusted to make the block division more accurate. Specifically, when calculating the color distance, the color distance is calculated by using a similar formula to calculate the Euclidean distance between two points. In RGB space, the calculation formula for color distance is:

Among them, C ₁ and C ₂ represent colors 1 and 2, C _1R and C _2R represent R channels of colors 1 and 2, C _1G and C _2G represent G channels of colors 1 and 2, and C _1B and C _2B represent colors 1 And 2 B channels.

However, because the RGB space is linear and orthogonal to each other, but the visual system of the human eye is not linear, the RGB space cannot reflect the perception of color by the human eye, so the corresponding color distance cannot reflect well. Are the two colors similar? Based on the above problems, an improved weighted Euclidean distance is used, and the specific calculation method is as follows:

ΔR = C _{1, R} -C _{2, R}

ΔG = C _{1, G} -C _{2, G}

ΔB = C _{1, B} -C _{2, B}

Similarly, C ₁ and C ₂ represent pixel colors 1 and 2, C _1R and C _2R represent R channels of colors 1 and 2, C _1G and C _2G represent G channels of colors 1 and 2, and C _1B and C _2B represent Channels 1 and 2 of color B. Through the improved weighted Euclidean distance calculation method described above, the difference between the two colors can be calculated. In this embodiment, the division line can be adjusted and determined based on the color distance on both sides of the division line.

To facilitate understanding, a specific example is described as follows: centering on the original slicing line determined based on the color distribution, if the slicing line is a vertical slicing line, move the vertical slicing line n pixels to the left and right, and the moving step here For 1 pixel, 2 * n vertical tangent lines can be obtained. At the same time, the center vertical lines of the left and right sub-graphs of the original vertical cut line are obtained at the same time, and the distance between the 2 * n vertical cut lines and the center vertical line of the two sub-pictures is calculated. The color distance of a single pixel is improved by using The weighted Euclidean distance formula is used to calculate. The color distance of the vertical lines in the center of the two sub-graphs is the sum of the color distances of the corresponding pixels. The division line with the smallest color distance from the vertical line of the center of the left or right sub-graph can be determined as Finally, the segmentation line for compressing the compressed image. Similarly, similar processing is performed on the transverse tangent line to obtain the final segmentation line, and then the sub-graph to be compressed after segmentation is obtained.

Further, the image to be compressed is segmented according to the color block changes in the image to be compressed to obtain several sub-images to be compressed, and then a preset compression rule is obtained, and one is determined for each sub-image to be compressed based on the preset compression rule. An optimal compression method, and based on the optimal compression method, each sub-graph to be compressed is compressed, so as to improve the compression rate of the sub-graphs to be compressed.

In this embodiment, first, the picture to be compressed is segmented based on a preset segmentation rule, and then divided into several different sub-images to be compressed, and then the Optimal compression method, and compress it based on the optimal compression method. The picture compression method proposed in the present application, by segmenting the large picture to be compressed and adopting an optimal compression method for each sub-picture to be compressed, makes the total size of the compressed picture smaller than the large picture obtained by using a certain method alone. The earth has improved the compression rate of pictures and reduced the size of the app.

Further, referring to FIG. 4, based on the above embodiment, a second embodiment of the picture compression method of the present application is proposed. In this embodiment, the step S20 includes:

Step S21: Obtain a preset compression rule and characteristic parameters of the sub-graphs to be compressed;

Step S22: Determine a compression rule corresponding to the sub-graphs to be compressed based on the feature parameters and the preset compression rule, and determine an optimal compression method for the sub-graphs to be compressed according to the compression rule. .

Segment the to-be-compressed picture according to the color block changes in the to-be-compressed picture to obtain several to-be-compressed sub-pictures, and then use the most appropriate compression method to compress each to-be-compressed sub-picture based on preset compression rules. The method is as follows: First, obtain the characteristic parameters of the sub-picture to be compressed, where the characteristic parameters may include: image size, whether it contains transparency and the number of image colors, etc. The picture size refers to the total number of pixels included in the sub-picture to be compressed after segmentation. , Expressed by the product of the pixels in the width direction and the pixels in the height direction; whether it contains transparency refers to whether the number of image colors of the sub-picture to be compressed is less than a certain number; if so, it is considered that the sub-picture to be compressed contains transparency; the number of image colors refers to The number of colors included is related to the number of bits used to describe the color.

It can be understood that, in addition to the above-mentioned feature parameters of the subgraph to be compressed, other feature parameters may also be included, which are not listed here one by one.

According to the above-mentioned characteristic parameters of the subgraph to be compressed, the compression rules corresponding to several subgraphs to be compressed can be determined based on the corresponding preset compression rules. Based on the compression rule, the optimal compression method for each subgraph to be compressed can be determined. , Including compression quality and compression format. Specifically, different compression rules can be set for different types of sub-pictures to be compressed. For example, if the picture size of the sub-pictures to be compressed is smaller than the first preset threshold, and the sub-pictures to be compressed contain transparency and the number of picture colors is less than the first With a preset number of colors, the compression rule corresponding to the sub-picture to be compressed can be determined as the first compression rule, and so on, and compression rules under different picture sizes, transparency parameters, and color parameters can be set. The following table shows a preset compression rule in this embodiment:

图片大小size of picture	是否包含透明Whether to include transparency	图片颜色数Picture color number	压缩质量Compression quality	压缩格式Compression format
<2k<2k	可以含透明May contain transparency	<＝4<= 4	100％100%	SVGSVG
>20k> 20k	不含透明Does not contain transparency	>＝256> = 256	70％70%	JPEGJPEG
>20K> 20K	可以含透明May contain transparency	>＝512> = 512	70％70%	WEBPWEBP

It can be understood that the foregoing preset compression rules are not complete, and can be added and adjusted according to actual needs. Based on the above-mentioned preset compression rules, according to the obtained corresponding characteristic parameters of the sub-graph to be compressed, the optimal compression method corresponding to the sub-graph to be compressed can be determined in order to compress it.

Further, the step of compressing the sub-graphs to be compressed based on the optimal compression method includes:

Step b: Determine a compression algorithm corresponding to the sub-pictures to be compressed based on the compression quality and compression format, and compress the sub-pictures to be compressed based on the compression algorithm.

Further, based on the corresponding preset compression rules, an optimal compression method corresponding to several sub-graphs to be compressed can be determined, including compression quality and compression format, etc., and corresponding sub-graphs to be compressed can be determined according to the determined compression quality and compression format. Graph compression processing algorithm. Specifically, the correspondence between the compression quality, compression format, and compression processing algorithm can be set in advance, where the compression processing algorithm can be a preset logic rule, or an existing tool that utilizes the above compression processing algorithm can be called to the picture Perform compression processing. It can be understood that a decision tree algorithm can also be used to determine the optimal compression method for the subgraphs to be compressed. After determining the optimal compression method for the sub-pictures to be compressed, compression processing is performed on each sub-picture to be compressed, which improves the compression ratio of the picture.

In this embodiment, after the to-be-compressed picture is segmented to obtain several to-be-compressed sub-pictures, characteristic parameters of the to-be-compressed sub-picture are obtained, and according to the feature parameters of the to-be-compressed sub-picture, a corresponding optimal rule is determined based on a preset compression rule A compression method, wherein the optimal compression method includes a compression quality and a compression format, further determines a compression algorithm for the subgraph to be compressed based on the compression quality and the compression format, and finally compresses the corresponding subgraph to be compressed according to the compression algorithm. By adopting an optimal compression method for each sub-picture to be compressed, the memory occupied by the picture after compression is reduced, and the picture compression rate is improved.

Further, referring to FIG. 5, based on the above embodiment, a third embodiment of the picture compression method of the present application is proposed. In this embodiment, after step S30, the method further includes:

Step S40: Save the compressed sub-picture to be compressed, and when a display instruction based on the picture to be compressed is detected, decompress the compressed sub-picture to be compressed;

Step S50: Based on the recorded position information, combine the decompressed sub-pictures to be compressed to obtain the picture to be compressed, and display the combined picture to be compressed.

In this embodiment, when the optimal compression method is used to compress each sub-picture to be compressed separately, the compressed sub-pictures are saved. When a large picture needs to be displayed, the compressed sub-pictures are compressed. Decompress and combine. The combined method is to combine the compressed sub-pictures according to the arrangement position before segmentation of the sub-pictures to be compressed, and stitch them into a complete picture to complete the decompression and display of the pictures to be compressed.

Specifically, after step S10, the method further includes:

Step c: Record position information of the sub-pictures to be compressed in the picture to be compressed.

Specifically, after the image to be compressed is segmented to obtain several sub-images to be compressed, in order to facilitate the subsequent combination of the compressed sub-images, the segmented to-compressed sub-images should be labeled. Specifically, it is Refers to the position mark of the sub-picture to be compressed in the original picture to be compressed. For example, the position parameter information of the sliced to-be-compressed sub-picture may be saved to determine the position of the to-be-compressed sub-picture in the picture to be compressed.

Further, after the sub-pictures to be compressed are compressed based on the optimal compression method, a series of compressed picture format files and data description files are generated for the sub-pictures to be compressed. The data description files are mainly the file names of the sub-pictures to be compressed. , Left top coordinate and width and height. Among them, the left top coordinate and width and height describe the position information of the sub-picture to be compressed in the original large picture to be compressed. When the display information based on the large image to be compressed is detected, each compressed sub-image will be decompressed to obtain the sub-image to be compressed again, and then the decompressed image will be decompressed according to the left top coordinate and width and height in the data description file. By combining the sub-images to be compressed, the original large image to be compressed can be re-stitched and displayed.

In this embodiment, a picture to be compressed is segmented based on a preset segmentation rule, and is divided into several different sub-images to be compressed, and several sub-images to be compressed are recorded in the original large image to be compressed. Position information so that when it is necessary to display the large image to be compressed, the decompressed sub-images to be compressed are re-spliced according to the recorded position information to obtain the image to be compressed, and the combined image to be compressed is displayed, reducing APP The size improves the user experience.

In addition, an embodiment of the present application further provides a picture compression device.

Referring to FIG. 6, FIG. 6 is a schematic diagram of functional modules of a first embodiment of a picture compression apparatus of the present application.

In this embodiment, the picture compression device includes:

Further, the picture segmentation module 10 specifically includes:

A picture segmentation unit, configured to obtain a color distribution of a picture to be compressed, and receive a segmentation instruction based on the color distribution;

A segmentation adjustment unit is configured to determine a segmentation line in the picture to be compressed based on the segmentation instruction, and adjust the segmentation line according to a preset algorithm to divide the picture to be compressed into several Subgraphs to be compressed.

Further, the segmentation adjustment unit specifically includes:

A slicing line adjustment subunit is configured to determine a slicing line in the picture to be compressed based on the slicing instruction, and adjust the slicing horizontal line up and down and / or the slicing according to a preset algorithm. The vertical line is adjusted left and right, so that the picture to be compressed is divided into several sub-pictures to be compressed based on the sliced horizontal line and / or the sliced vertical line, wherein the calculation formula of the preset algorithm is :

ΔR = C _{1, R} -C _{2, R}

ΔG = C _{1, G} -C _{2, G}

ΔB = C _{1, B} -C _{2, B}

Further, the picture compression device further includes:

The position recording unit is configured to record position information of the sub-pictures to be compressed in the picture to be compressed.

Further, the compression method determining module 20 specifically includes:

A parameter obtaining unit, configured to obtain a preset compression rule and characteristic parameters of the sub-graphs to be compressed;

The compression method determining unit is configured to determine a compression rule corresponding to the several sub-graphs to be compressed based on the feature parameter and the preset compression rule, and determine the sub-graphs to be compressed respectively according to the compression rule. Optimal compression method.

Further, the picture compression module 30 specifically includes:

A compression algorithm determining unit is configured to determine a compression algorithm corresponding to the sub-pictures to be compressed based on the compression quality and compression format, and compress the sub-pictures to be compressed based on the compression algorithm.

Further, the picture compression device further includes:

A sub-graphic compression unit, configured to save the compressed sub-picture to be compressed, and when a display instruction based on the picture to be compressed is detected, decompress the compressed sub-picture to be compressed;

A sub-picture combining unit, configured to combine the decompressed to-be-compressed sub-pictures to obtain the to-be-compressed picture based on the recorded position information, and display the combined to-be-compressed picture.

Each module in the picture compression apparatus corresponds to each step in the embodiment of the picture compression method, and functions and implementation processes thereof are not described here one by one.

In addition, an embodiment of the present application further provides a computer-readable storage medium, and the computer-readable storage medium may be a non-volatile readable storage medium.

Computer-readable instructions are stored on the computer-readable storage medium of the present application, and when the computer-readable instructions are executed by a processor, the steps of the picture compression method described above are implemented.

For the method implemented when the computer-readable instructions are executed, reference may be made to various embodiments of the picture compression method of the present application, and details are not described herein again.

It should be noted that, in this article, the terms "including", "including" or any other variants thereof are intended to cover non-exclusive inclusion, so that a process, method, article or system including a series of elements includes not only those elements, It also includes other elements not explicitly listed, or elements inherent to such a process, method, article, or system. Without more restrictions, an element limited by the sentence "including a ..." does not exclude the existence of other identical elements in the process, method, article, or system that includes the element.

The above-mentioned serial numbers of the embodiments of the present application are merely for description, and do not represent the superiority or inferiority of the embodiments.

Through the description of the above embodiments, those skilled in the art can clearly understand that the methods in the above embodiments can be implemented by means of software plus a necessary universal 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 this application that is essentially or contributes to the existing technology can be embodied in the form of a software product. The computer software product is stored in a storage medium (such as ROM / RAM) as described above. , Magnetic disk, optical disc), including a number of instructions for causing a terminal device (which may be a mobile phone, a computer, a server, an air conditioner, or a network device, etc.) to execute the methods described in the embodiments of the present application.

The above are only preferred embodiments of the present application, and thus do not limit the patent scope of the present application. Any equivalent structure or equivalent process transformation made by using the contents of the specification and drawings of the present application, or directly or indirectly used in other related technical fields Are included in the scope of patent protection of this application.

Claims

A picture compression method, wherein the picture compression method includes the following steps:

Segment the compressed image according to a preset segmentation rule to obtain several sub-images to be compressed;

Determining an optimal compression method corresponding to each of the sub-graphs to be compressed based on a preset compression rule;

Based on the optimal compression method, the sub-graphs to be compressed are compressed.
The image compression method according to claim 1, wherein the step of segmenting the compressed image according to a preset segmentation rule to obtain a plurality of sub-images to be compressed comprises:

Obtaining a color distribution of a picture to be compressed, and receiving a segmentation instruction based on the color distribution;

A segmentation line in the picture to be compressed is determined based on the segmentation instruction, and the segmentation line is adjusted according to a preset algorithm to divide the picture to be compressed into a plurality of sub-pictures to be compressed.
The image compression method according to claim 2, wherein the segmentation line comprises a segmentation horizontal line and a segmentation vertical line, and the segmentation line in the picture to be compressed is determined based on the segmentation instruction. And adjusting the segmentation line according to a preset algorithm, so that the step of segmenting the picture to be compressed into several sub-pictures to be compressed includes:

Determine a segmentation line in the picture to be compressed based on the segmentation instruction, and adjust the segmentation horizontal line up and down and / or adjust the segmentation vertical line left and right according to a preset algorithm, so as to The segmentation horizontal line and / or the segmentation vertical line divide the picture to be compressed into several sub-pictures to be compressed, wherein the calculation formula of the preset algorithm is:

ΔR = C 1, R -C 2, R

ΔG = C 1, G -C 2, G

ΔB = C 1, B -C 2, B

Wherein, C 1 and C 2 represent pixel colors 1 and 2; C 1R and C 2R represent R channels of colors 1 and 2; C 1G and C 2G represent G channels of colors 1 and 2; C 1B and C 2B Represents the B channels of colors 1 and 2.
The image compression method according to claim 3, wherein after the step of segmenting the compressed image according to a preset segmentation rule to obtain a plurality of sub-images to be compressed, further comprising:

Record position information of the sub-pictures to be compressed in the picture to be compressed.
The picture compression method according to claim 4, wherein the step of determining an optimal compression method corresponding to each of the sub-pictures to be compressed based on a preset compression rule comprises:

Obtaining preset compression rules and characteristic parameters of the sub-graphs to be compressed;

A compression rule corresponding to the plurality of sub-graphs to be compressed is determined based on the feature parameters and the preset compression rule, and an optimal compression method for the plurality of sub-graphs to be compressed is determined according to the compression rule.
The picture compression method according to claim 5, wherein the optimal compression method comprises a compression quality and a compression format, and based on the optimal compression method, compressing the plurality of sub-pictures to be compressed The steps include:

A compression algorithm corresponding to the sub-pictures to be compressed is determined based on the compression quality and compression format, and the sub-pictures to be compressed are compressed based on the compression algorithm.
The picture compression method according to claim 6, wherein after the step of compressing the sub-pictures to be compressed based on the optimal compression method, further comprising:

Saving the compressed sub-picture to be compressed, and decompressing the compressed sub-picture to be compressed when a display instruction based on the picture to be compressed is detected;

Based on the recorded position information, the decompressed to-be-compressed sub-pictures are combined to obtain the to-be-compressed picture, and the combined to-be-compressed picture is displayed.
A picture compression device, wherein the picture compression device includes:

An image segmentation module, configured to segment the compressed image according to a preset segmentation rule to obtain several sub-images to be compressed;

A compression method determining module, configured to determine an optimal compression method corresponding to each of the sub-graphs to be compressed based on a preset compression rule;

A picture compression module is configured to compress the sub-pictures to be compressed based on the optimal compression method.
The picture compression device according to claim 8, wherein the picture segmentation module comprises:

A picture segmentation unit, configured to obtain a color distribution of a picture to be compressed, and receive a segmentation instruction based on the color distribution;

A segmentation adjustment unit is configured to determine a segmentation line in the picture to be compressed based on the segmentation instruction, and adjust the segmentation line according to a preset algorithm to divide the picture to be compressed into several Subgraphs to be compressed.
The image compression device according to claim 9, wherein the segmentation adjustment unit comprises:

A slicing line adjustment subunit is configured to determine a slicing line in the picture to be compressed based on the slicing instruction, and adjust the slicing horizontal line up and down and / or the slicing according to a preset algorithm. The vertical line is adjusted left and right, so that the picture to be compressed is divided into several sub-pictures to be compressed based on the sliced horizontal line and / or the sliced vertical line, wherein the calculation formula of the preset algorithm is :

ΔR = C 1, R -C 2, R

ΔG = C 1, G -C 2, G

ΔB = C 1, B -C 2, B

Wherein, C 1 and C 2 represent pixel colors 1 and 2; C 1R and C 2R represent R channels of colors 1 and 2; C 1G and C 2G represent G channels of colors 1 and 2; C 1B and C 2B Represents the B channels of colors 1 and 2.
The image compression device according to claim 10, wherein the compression method determining module comprises:

A parameter obtaining unit, configured to obtain a preset compression rule and characteristic parameters of the sub-graphs to be compressed;

The compression method determining unit is configured to determine a compression rule corresponding to the several sub-graphs to be compressed based on the feature parameter and the preset compression rule, and determine the sub-graphs to be compressed respectively according to the compression rule. Optimal compression method.
A picture compression device, characterized in that the picture compression device includes: a memory, a processor, and computer-readable instructions stored in the memory and executable on the processor. The computer-readable instructions are When the processor executes, the following steps are implemented:

Segment the compressed image according to a preset segmentation rule to obtain several sub-images to be compressed;

Determining an optimal compression method corresponding to each of the sub-graphs to be compressed based on a preset compression rule;

Based on the optimal compression method, the sub-graphs to be compressed are compressed.
The image compression device according to claim 12, wherein the step of segmenting the compressed image according to a preset segmentation rule to obtain a plurality of sub-images to be compressed comprises:

Obtaining a color distribution of a picture to be compressed, and receiving a segmentation instruction based on the color distribution;

A segmentation line in the picture to be compressed is determined based on the segmentation instruction, and the segmentation line is adjusted according to a preset algorithm to divide the picture to be compressed into a plurality of sub-pictures to be compressed.
The image compression device according to claim 13, wherein the segmentation line comprises a segmentation horizontal line and a segmentation vertical line, and the segmentation line in the picture to be compressed is determined based on the segmentation instruction. And adjusting the segmentation line according to a preset algorithm, so that the step of segmenting the picture to be compressed into several sub-pictures to be compressed includes:

Determine a segmentation line in the picture to be compressed based on the segmentation instruction, and adjust the segmentation horizontal line up and down and / or adjust the segmentation vertical line left and right according to a preset algorithm, so as to The segmentation horizontal line and / or the segmentation vertical line divide the picture to be compressed into several sub-pictures to be compressed, wherein the calculation formula of the preset algorithm is:

ΔR = C 1, R -C 2, R

ΔG = C 1, G -C 2, G

ΔB = C 1, B -C 2, B

Wherein, C 1 and C 2 represent pixel colors 1 and 2; C 1R and C 2R represent R channels of colors 1 and 2; C 1G and C 2G represent G channels of colors 1 and 2; C 1B and C 2B Represents the B channels of colors 1 and 2.
The picture compression device according to claim 14, wherein the step of determining an optimal compression method corresponding to each of the sub-pictures to be compressed based on a preset compression rule comprises:

Obtaining preset compression rules and characteristic parameters of the sub-graphs to be compressed;

A compression rule corresponding to the plurality of sub-graphs to be compressed is determined based on the feature parameters and the preset compression rule, and an optimal compression method for the plurality of sub-graphs to be compressed is determined according to the compression rule.
A computer-readable storage medium is characterized in that computer-readable instructions are stored on the computer-readable storage medium, and when the computer-readable instructions are executed by a processor, the following steps are implemented:

Segment the compressed image according to a preset segmentation rule to obtain several sub-images to be compressed;

Determining an optimal compression method corresponding to each of the sub-graphs to be compressed based on a preset compression rule;

Based on the optimal compression method, the sub-graphs to be compressed are compressed.
The computer-readable storage medium of claim 16, wherein the step of segmenting the compressed image according to a preset segmentation rule to obtain a plurality of sub-images to be compressed comprises:

Obtaining a color distribution of a picture to be compressed, and receiving a segmentation instruction based on the color distribution;

A segmentation line in the picture to be compressed is determined based on the segmentation instruction, and the segmentation line is adjusted according to a preset algorithm, so as to divide the picture to be compressed into a plurality of sub-pictures to be compressed.
The computer-readable storage medium of claim 17, wherein the segmentation line includes a segmentation horizontal line and a segmentation vertical line, and the segmentation in the picture to be compressed is determined based on the segmentation instruction. Dividing the line, and adjusting the dividing line according to a preset algorithm, so that the step of dividing the picture to be compressed into several sub-pictures to be compressed includes:

Determine a segmentation line in the picture to be compressed based on the segmentation instruction, and adjust the segmentation horizontal line up and down and / or adjust the segmentation vertical line left and right according to a preset algorithm, so as to The segmentation horizontal line and / or the segmentation vertical line divide the picture to be compressed into several sub-pictures to be compressed, wherein the calculation formula of the preset algorithm is:

ΔR = C 1, R -C 2, R

ΔG = C 1, G -C 2, G

ΔB = C 1, B -C 2, B

Wherein, C 1 and C 2 represent pixel colors 1 and 2; C 1R and C 2R represent R channels of colors 1 and 2; C 1G and C 2G represent G channels of colors 1 and 2; C 1B and C 2B Represents the B channels of colors 1 and 2.
The computer-readable storage medium of claim 18, wherein the step of determining an optimal compression method corresponding to each of the sub-graphs to be compressed based on a preset compression rule comprises:

Obtaining preset compression rules and characteristic parameters of the sub-graphs to be compressed;

A compression rule corresponding to the plurality of sub-graphs to be compressed is determined based on the feature parameters and the preset compression rule, and an optimal compression method for the plurality of sub-graphs to be compressed is determined according to the compression rule.