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

Picture-based lossless compression method, intelligent terminal and storage medium

A lossless compression, picture technology, applied in the field of picture processing, can solve the problem of estimating the probability of each character, entropy coding can not make full use of the context relationship, etc., to reduce the storage occupancy rate, save traffic, improve the transmission speed effect.

Pending Publication Date: 2021-06-25
WUHAN TCL CORP RES CO LTD
View PDF5 Cites 0 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0006] The main purpose of the present invention is to provide a picture-based lossless compression method, intelligent terminal and storage medium, aiming to solve the problem that entropy coding in the prior art cannot make full use of the context to estimate the probability of each character

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
  • Picture-based lossless compression method, intelligent terminal and storage medium
  • Picture-based lossless compression method, intelligent terminal and storage medium
  • Picture-based lossless compression method, intelligent terminal and storage medium

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0043] In order to make the object, technical solution and advantages of the present invention more clear and definite, the present invention will be further described in detail below with reference to the accompanying drawings and examples. It should be understood that the specific embodiments described here are only used to explain the present invention, not to limit the present invention.

[0044] The picture-based lossless compression method described in the preferred embodiment of the present invention, such as figure 1 As shown, the image-based lossless compression method includes the following steps:

[0045] Step S10 , lossy encoding is performed on the input original picture, and multiple feature maps are extracted.

[0046] Specifically, based on CNN (Convolutional Neural Networks, Convolutional Neural Networks, which is a type of feed-forward neural network that includes convolutional calculations and has a deep structure, and is one of the representative algorithm...

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 discloses a picture-based lossless compression method, an intelligent terminal and a storage medium. The method comprises the steps: carrying out lossy coding of an input original picture, and extracting a plurality of feature maps; carrying out lossless coding on the plurality of feature maps to obtain a binary file; carrying out lossless decoding on the binary file to obtain a plurality of feature maps; and carrying out lossy decoding on the plurality of feature maps to obtain the original picture. According to the invention, the original picture is compressed into the binary file, so that the storage occupancy rate is reduced, the transmission speed of the picture can be improved, the flow is saved, and the binary file is decoded when the picture is displayed.

Description

technical field [0001] The present invention relates to the technical field of picture processing, in particular to a picture-based lossless compression method, an intelligent terminal and a storage medium. Background technique [0002] Pictures are a common information carrier in daily life. However, lossless pictures occupy a lot of physical storage space and are not conducive to transmission. A key technology for picture compression is entropy coding (coding that does not lose any information according to the principle of entropy during the coding process. ), entropy coding can losslessly compress the intermediate files generated by image compression. [0003] Entropy coding is to encode characters according to the estimated probability. There are many ways to estimate the probability. For example, three letters appear in sequence in a text: A, B, and A. The simplest way is to put the characters where A appears The number of times / total number of letters is used as the e...

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): G06T9/00
CPCG06T9/002Y02D10/00
Inventor 肖云雷刘阳兴
Owner WUHAN TCL CORP RES CO LTD
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