Looking for breakthrough ideas for innovation challenges? Try Patsnap Eureka!

Color image compression method based on reaction-diffusion equation set

A diffusion equation and color image technology, applied in the field of image processing, can solve the problem of color information prone to block effect, etc., achieve the effect of rich details, eliminate block effect, and improve PSNR value and SSIM value

Active Publication Date: 2018-01-30
HARBIN INST OF TECH
View PDF3 Cites 0 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0005] The present invention proposes a color image compression method based on reaction-diffusion equations in order to solve the problem that the existing color image compression method is prone to block effects in the compression of color information, and the technical scheme adopted is as follows:

Method used

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
View more

Image

Smart Image Click on the blue labels to locate them in the text.
Viewing Examples
Smart Image
  • Color image compression method based on reaction-diffusion equation set
  • Color image compression method based on reaction-diffusion equation set
  • Color image compression method based on reaction-diffusion equation set

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0044] This embodiment proposes a color image processing method based on reaction-diffusion equations. The color image processing method first converts the color image into a grayscale image in the compression stage, and compresses the grayscale image using the JPEG compression method. , And then use the local optimal strategy to select some representative pixels in the color image, and then only store the compressed gray image and the selected representative pixels to achieve the purpose of compression; in the decompression stage, the reaction-diffusion equations The stored data is decompressed into the original color image.

[0045] The color image compression method based on the reaction-diffusion equations proposed in this embodiment is different from the improvement of the JPEG compression method itself in the improvement process of the traditional JPEG compression method, but chooses to perform pre-image optimization processing on the image to be compressed by the JPEG compr...

Embodiment 2

[0047] Embodiment 2 further defines the color image compression method based on the reaction-diffusion equation set described in Embodiment 1. The specific steps of the color image compression process in the color image compression method based on the reaction-diffusion equation set are:

[0048] Step 1: Convert the original color image to u 0 Divide into a series of small 8*8 pixel images u i , Where i=1, 2, 3...;

[0049] Step two: in u i It traverses all 64 pixels in, and uses this pixel as a representative pixel to repair the small image u described in step one by the reaction-diffusion equations i ;

[0050] Step 3: Calculate the repaired small image u in the 64 situations described in Step 2 i PSNR value;

[0051] Step 4: Obtain the small image u described in Step 3 i Representative pixel in x i And the representative pixel x i Corresponding PSNR value: PSNR i , Where, represents the pixel point x i It is the pixel corresponding to the PSNR value with the highest value among the ...

Embodiment 3

[0062] Embodiment 3 is a further definition of the color image processing method based on reaction-diffusion equations in embodiment 2. The specific number of a series of 8*8 pixel small images in step one is M*N / 64, where M and N Respectively indicate the number of long and wide pixels of the original color image. If M and N are not multiples of 8, the length and width of the original color image need to be symmetrically extended to multiples of 8.

[0063] Dividing the original color picture into multiple 8*8 pixel small images can greatly reduce the calculation time of the algorithm to solve the representative pixel points, thereby reducing the time of proposing model compression and decompression.

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to View More

PUM

No PUM Login to View More

Abstract

The invention provides a color image compression method based on a reaction-diffusion equation set. The color image compression method belongs to the field of image processing technologies. The colorimage compression method comprises the steps of: firstly, converting a color image into a grayscale image in a compression phase, compressing the grayscale image by using a JPEG compression method, then selecting a number of representative pixel points in the color image by utilizing a local optimal strategy, and only storing the compressed grayscale image and the selected representative pixel points to achieve the purpose of compression; and decompressing the stored data into the original color image by utilizing the reaction-diffusion equation set in a decompression phase. The color image compression method based on the reaction-diffusion equation set has the advantage of reducing a storage space of the color image, so that the display effect of the decompressed color image is clearer, and the details are more abundant, meticulous and the like.

Description

Technical field [0001] The invention relates to a color image compression method based on reaction-diffusion equations, and belongs to the technical field of image processing. Background technique [0002] Image compression is a common problem in the fields of computer science and technology. Affected by factors such as storage space and network transmission speed, people often need clear images with a high compression ratio. For example, due to network speed, most of the images we see on the Internet are compressed. [0003] JPEG (Joint Photographic Experts Group) is the first international image compression standard and the most widely used image compression standard in the past two decades. JPEG-based image compression results can be seen everywhere on the Internet. However, as an ancient image compression standard, the shortcomings of JPEG are also magnified as people's requirements for image quality increase. The flaws of JPEG come from two aspects. Firstly, the core techno...

Claims

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to View More

Application Information

Patent Timeline
no application Login to View More
IPC IPC(8): H04N19/42H04N19/86
Inventor 张达治郭志昌孙杰宝吴勃英
Owner HARBIN INST OF TECH
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Patsnap Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Patsnap Eureka Blog
Learn More
PatSnap group products

Browse by: Latest US Patents, China's latest patents, Technical Efficacy Thesaurus, Application Domain, Technology Topic, Popular Technical Reports.

© 2024 PatSnap. All rights reserved.Legal|Privacy policy|Modern Slavery Act Transparency Statement|Sitemap|About US| Contact US: help@patsnap.com