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

Compression method and device based on image prediction

A compression method and image technology, applied in the field of compression, can solve the problem that the prediction method cannot be applied to different scenes and singleness of the image block to be compressed, and achieve the effect of reducing the theoretical limit entropy and improving the compression rate

Active Publication Date: 2020-12-22
嘉兴奥腾电子科技有限公司
View PDF10 Cites 0 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0004] In the current image compression method, a single prediction method is used for each image block to be compressed, and a single prediction method cannot be applied to different scenarios of the image block to be compressed

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
  • Compression method and device based on image prediction
  • Compression method and device based on image prediction
  • Compression method and device based on image prediction

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0047]Seefigure 1 ,; This embodiment describes in detail an image compression method provided by the present invention, and the method includes the following steps:

[0048]Step 1. Receive the image frame to be compressed;

[0049]Step 2. Determine multiple coding units of the image frame to be compressed;

[0050]Step 3. Use multiple prediction modes to predict the multiple coding units in turn;

[0051]Step 4. Determine the best prediction mode for each coding unit according to the prediction results of the multiple coding units using a preset formula to complete the compression of the image frame to be compressed.

[0052]Among them, step 2 may include:

[0053]Step 21: Divide the image frame to be compressed into a plurality of coding units of the same size according to a predetermined specification; wherein the coding unit includes a plurality of pixel components.

[0054]Among them, step 3 may include:

[0055]Step 301: Predict each pixel component in the multiple coding units in sequence using the f...

Embodiment 2

[0072]This embodiment provides a detailed description of the first prediction mode proposed by the present invention on the basis of the foregoing embodiment. This mode includes the following steps:

[0073]Step 1. Define the size of the unit to be coded;

[0074]Define the size of the unit to be coded as m*n, that is, the unit to be coded has m*n pixel components, where m≥1 and n≥1;

[0075]Preferably, the size of the unit to be encoded can be defined as 8*1 pixel components, 16*1 pixel components, 32*1 pixel components, 64*1 pixel components; in this embodiment, the size of the unit to be encoded is 16 *1 pixel component is taken as an example, and the same applies to other units to be coded of different sizes.

[0076]Such asfigure 2 As shown,figure 2 This is a schematic diagram of a prediction method for the first prediction mode provided by an embodiment of the present invention. The pixel component values ​​of the 16*1 pixel components in the unit to be encoded are sequentially set to 12,...

Embodiment 3

[0090]On the basis of the foregoing embodiment, this embodiment describes in detail the second prediction mode proposed by the present invention. This mode includes the following steps:

[0091]Step 1. Define the reconstructed pixel components;

[0092]Define the current pixel component in the coding unit as Cij, select K reconstructed pixel components that have been coded around the current pixel component, and number the encoded K reconstructed pixel components. The order of the number can be specified, where K≥1.

[0093]Preferably, asimage 3 As shown,image 3 This is a reference schematic diagram of a reconstructed pixel component in the second prediction mode provided by an embodiment of the present invention; set the sequence number of the current pixel component as Cij, the sequence number of the reconstructed pixel component to the left of the current pixel component Cij, and the number i from right to left Sorting in descending order, the number j is descending from bottom to top for...

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 relates to a compression method and equipment based on image prediction. The method comprises the following steps: receiving a to-be-compressed image frame; determining multiple encodingunits of the to-be-compressed image frame; predicting multiple encoding units in turn by adopting multiple prediction modes; determining an optimal prediction mode of each encoding unit by utilizinga preset formula according to prediction results of multiple encoding units so as to accomplish the compression of the to-be-compressed image frame. Compared with the existing method, the compressionmethod provided by the invention can improve the image encoding compression rate for the to-be-compressed image frames at different scenes, thereby further reducing the theory limit entropy of the compression.

Description

Technical field[0001]The present invention relates to the field of compression technology, in particular to a compression method and equipment based on image prediction.Background technique[0002]With the development of network transmission technology, images have become the main medium for people to spread information due to their rich content and strong expressiveness. Uncompressed images require a large amount of data to characterize, and are not suitable for direct transmission and storage. They need to be compressed. When the network transmission environment is at high bit rate and medium bit rate, the compressed image has excellent Limit distortion performance, better image quality and other advantages.[0003]The original video image signal has a lot of redundant information, which includes spatial redundant information, temporal redundant information, data redundant information, and visual redundant information. The purpose of image compression is to reduce the various redundan...

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
Patent Type & Authority Patents(China)
IPC IPC(8): H04N19/103H04N19/137H04N19/122H04N19/182
CPCH04N19/103H04N19/122H04N19/137H04N19/182
Inventor 李雯田林海
Owner 嘉兴奥腾电子科技有限公司
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