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

Image coding method based on JND model

An image coding and model technology, applied in the field of image coding based on visual characteristics, can solve the problems of staying in the compression idea, less considering the visual redundancy characteristics, and increasing the computational complexity of coding efficiency, so as to increase the quantization intensity and reduce the compression code. rate, and the effect of improving coding efficiency

Inactive Publication Date: 2013-09-11
FUZHOU UNIV
View PDF3 Cites 7 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

Although this encoding technology has been widely recognized in the industry, it is based on Shannon's information theory, uses classical set theory as a tool, and uses probability and statistics models to describe information sources. Its compression idea still mainly stays at the level of digital signal processing. , mainly starting from the removal of data redundancy, less consideration of visual redundancy characteristics, the improvement of coding efficiency mainly depends on the fine-tuning of technical details at the cost of a large increase in computational complexity

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
  • Image coding method based on JND model
  • Image coding method based on JND model
  • Image coding method based on JND model

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0018] The technical solution involved in the patent of the present invention is described below with a specific implementation example in conjunction with the accompanying drawings.

[0019] The present invention uses pre-quantization to estimate the JND threshold of the compressed image, and further increases the quantization step size in combination with the JND model, and improves the coding efficiency by removing more visual redundancy while keeping the image quality unchanged. The code stream remains compatible with the JPEG coding standard, and this method is also applicable to video coding based on the JND model.

[0020] Such as figure 2 shown. The original image file is read by the image input module 11 and the image is divided into blocks; the DCT converter 12 performs DCT forward transformation on each 8x8 block of the input image and outputs DCT coefficients; The quantization step size Q is pre-quantized, and the quantization result is output to the dequantizer...

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 an image coding method based on a JND model. After the DCT conversion of an image is completed, a module formed by quantization, inverse quantization reconstruction, JND threshold value estimation and an enhanced quantizer further increases a quantifying step size, removes visual redundancy, reduces the compression code rate in the condition of maintaining visual quality, and improves code efficiency. The method can accurately track the quality of compressed images according to the needs of a user on compression code rate, and provide accurate JND threshold values to design quantized enhanced values. In addition, a modified JND threshold estimation method enables extra bit expense not to be necessarily added to a coding end, and the code stream generated by a designed encoder is maintained to be compatible with a JPEG coding standard.

Description

technical field [0001] The patent of the present invention relates to an image coding method based on a JND (Just Noticeable Difference, JND) model, in particular to an image coding method based on visual characteristics. Background technique [0002] In image processing and transmission, the JPEG standard is a widely used image storage and transmission format. It is an international standard for still image compression coding developed by the Joint Photographic Experts Group JPEG (Joint Photographic Experts Group) under the International Organization for Standardization (ISO). . [0003] The JPEG standard encoding method is attached figure 1 As shown, it mainly includes image input, DCT transformation, quantization and entropy coding modules. Although this encoding technology has been widely recognized in the industry, it is based on Shannon's information theory, uses classical set theory as a tool, and uses probability and statistics models to describe information source...

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): H04N7/26H04N7/30
Inventor 郑明魁苏凯雄杨秀芝
Owner FUZHOU UNIV
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