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Image compression method and system, readable storage medium and computer equipment

An image compression and image technology, which is applied in the field of image processing, can solve problems such as broadband inapplicability, information loss, and image distortion, and achieve the effects of reducing image distortion, improving coding efficiency, and ensuring coding effects

Inactive Publication Date: 2019-07-09
SHANDONG NORMAL UNIV
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0004] The inventors found that the existing image compression methods such as JPEG, as a general compression algorithm, must transmit a whole picture before it can be displayed during network transmission, which is not applicable when the broadband is small, and the transmission process prone to packet loss
Traditional compression methods need quantization and entropy coding in the compression process, and quantization is the primary cause of information loss and picture distortion. Removing data redundancy also leads to poor reconstruction quality and image artifacts.

Method used

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  • Image compression method and system, readable storage medium and computer equipment
  • Image compression method and system, readable storage medium and computer equipment
  • Image compression method and system, readable storage medium and computer equipment

Examples

Experimental program
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Embodiment 1

[0048] Such as figure 1 As shown, a kind of image compression method of the present embodiment comprises:

[0049] S101: Divide the original image into several subsets, generate a corresponding description for each subset, and mark the semantic segmentation labels of each subset;

[0050] S102: Based on the multi-description encoding method, reconstruct the description corresponding to each subset and the corresponding semantic segmentation label to obtain the corresponding sub-compressed image;

[0051] S103: Synthesize all sub-compressed images to obtain a compressed image corresponding to the original image.

[0052] In this embodiment, semantic segmentation and multiple description coding are combined, and a GAN network is used to generate a reconstructed image, thereby improving the compression ratio of the compressed image and the resolution of the reconstructed image.

Embodiment 2

[0054] The following is an example of dividing the original image into two subsets:

[0055] Such as figure 2 As shown, the image compression method of the present embodiment at least includes:

[0056]S201: Divide the original image into two subsets, generate a corresponding description for each subset, and mark semantic segmentation labels of each subset.

[0057] Specifically, after each subset generates a corresponding description, it also includes:

[0058] Using an interpolation algorithm to make the resulting description consistent with the size of the original image.

[0059] In specific implementation, image information is obtained, and image information is divided into two subsets (I A ,I B ), generate the first description and the second description at the same time, and then use the interpolation method to make the obtained description consistent with the size of the original image.

[0060] The original image is I, assuming Two descriptions are obtained af...

Embodiment 3

[0112] Such as Figure 7 As shown, a kind of image compression system of the present embodiment at least includes:

[0113] Subset division module 101, which is used to divide the original image into several subsets, generate a corresponding description for each subset, and mark the semantic segmentation tags of each subset.

[0114] Specifically, the subset division module is also used for:

[0115] Using an interpolation algorithm to make the resulting description consistent with the size of the original image.

[0116] Wherein, the original image can be divided into 2 or other number of subsets, which does not affect the image compression effect of this embodiment.

[0117] Let's take the original image divided into 2 subsets as an example:

[0118] In specific implementation, image information is obtained, and image information is divided into two subsets (I A ,I B ), generate the first description and the second description at the same time, and then use the interpol...

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Abstract

The invention provides an image compression method and system, a readable storage medium and computer equipment. The image compression method comprises the steps that an original image is divided intoa plurality of subsets, each subset generates a corresponding description, and meanwhile semantic segmentation labels of all the subsets are marked; on the basis of a multi-description coding method,the description corresponding to each subset and the corresponding semantic segmentation tag are reconstructed to obtain corresponding sub-compressed images; and all the sub-compressed images are synthesized to obtain a compressed image corresponding to the original image.

Description

technical field [0001] The disclosure belongs to the field of image processing, and in particular relates to an image compression method, system, readable storage medium and computer equipment. Background technique [0002] The statements in this section merely provide background information related to the present disclosure and do not necessarily constitute prior art. [0003] With the development of the information age, more and more attention has been paid to the research in the image field. Image compression is very important for data storage and transmission. [0004] The inventors found that the existing image compression methods such as JPEG, as a general compression algorithm, must transmit a whole picture before it can be displayed during network transmission, which is not applicable when the broadband is small, and the transmission process prone to packet loss. Traditional compression methods require quantization and entropy coding during the compression process...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): H04N19/17H04N19/39H04N19/42H04N19/70G06T3/40G06T7/10
CPCG06T3/4007G06T7/10H04N19/17H04N19/39H04N19/42H04N19/70
Inventor 孟丽丽李雪谭艳艳张佳万文博张化祥
Owner SHANDONG NORMAL UNIV
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