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

Compression method and equipment 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 single image blocks to be compressed, and achieve the effect of reducing the theoretical limit entropy and improving the compression rate.

Active Publication Date: 2019-03-29
嘉兴奥腾电子科技有限公司
View PDF10 Cites 3 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 equipment based on image prediction
  • Compression method and equipment based on image prediction
  • Compression method and equipment based on image prediction

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

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

[0048] Step 1, receiving the image frame to be compressed;

[0049] Step 2, determining a plurality of coding units of the image frame to be compressed;

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

[0051] Step 4: Determine the optimal prediction mode of each coding unit by using a preset formula according to the prediction results of the plurality of coding units, so as to complete the compression of the image frame to be compressed.

[0052] Among them, step 2 may include:

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

[0054] Among them, step 3 may include:

[0055] Step 301: Use a first prediction mode ...

Embodiment 2

[0072] This embodiment describes in detail the first prediction mode proposed by the present invention on the basis of the foregoing embodiments. This pattern includes the following steps:

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

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

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

[0076] Such as figure 2 as shown, figure 2 It is a schematic diagram of a prediction method of the first prediction mode provided by the embodiment of the present invention. The pixel component values ​​of the 16*1 pixel components in the unit to be coded are ...

Embodiment 3

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

[0091] Step 1, define reconstruction pixel components;

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

[0093] Preferably, as image 3 as shown, image 3 A reference schematic diagram of a reconstructed pixel component of the second prediction mode provided for the embodiment of the present invention; set the serial number of the current pixel component as Cij, the serial number of the reconstructed pixel component on the left side of the current pixel component Cij, and the number i from right to left Sort in descending order, number j descends from bottom to top; the se...

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 invention relates to the technical field of compression, 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 disseminate information due to their rich and varied content and strong expressive power. Uncompressed images require a large amount of data to represent, and are not suitable for direct transmission and storage. They need to be compressed. When the network transmission environment is at a high bit rate or a medium bit rate, the compressed image has excellent performance. Distortion-limited performance, good image quality and so on. [0003] There is a large amount of redundant information in the original video image signal, which includes spatial redundant information, temporal redundant information, data redundant information and visual redundant information. The purpose of ima...

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 Applications(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

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