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

A method for determining the global minimum perceptible difference in images

A minimal and different technology, applied in the field of image processing, can solve the problem of uneven distribution of photoreceptor cells, and achieve the effect of mining perceptual redundancy, good theoretical basis, and accurate results.

Active Publication Date: 2017-03-29
WUHAN UNIV
View PDF2 Cites 0 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

However, relevant physiological and psychological experiments have shown that the distribution of photoreceptor cells on the retina is not uniform

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
  • A method for determining the global minimum perceptible difference in images
  • A method for determining the global minimum perceptible difference in images
  • A method for determining the global minimum perceptible difference in images

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0048]The present invention first measures the minimum perceptible difference corresponding to different viewing angles (retinal eccentricity) under contrast masking conditions through visual perception experiments; then calculates the local minimum perceivable difference of the test picture according to the existing image local minimum perceivable difference model. Perceive the difference; then calculate the ratio of the test minimum perceptible difference to the local minimum perceivable difference to obtain the average ratio under different viewing angles; calculate the contrast sensitivity corresponding to different viewing angles, and perform normalization processing. Next, use the normalized contrast sensitivity and contrast based on the viewing angle to fit the average ratio, and obtain the visual characteristic model m based on the viewing angle for contrast masking 1 . Finally, based on the results of this experiment, a computational model for the global minimum perce...

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 method for measuring image global minimum perceived difference. In a model establishment stage, corresponding measurement images are generated according to characteristic parameters of each group of tested images, a corresponding noise intensity threshold value is obtained by using a staircase method, a visual characteristic model aiming at contrast masking is obtained, and a calculation model of the global minimum perceived difference is proposed. In a model application stage, the image global minimum perceived difference of any input gray level image is obtained through calculation by utilizing the calculation model of the global minimum perceived difference obtained in the model establishment stage. Measuring images generated through the method have larger MSEs and capacity of hiding noise, and the perception redundancy of human eyes can be exploited more effectively. The method for measuring the image global minimum perceived difference combines a contrast ratio masking effect and other masking effects, and results are more accurate.

Description

technical field [0001] The invention relates to the field of image processing, in particular to a method for measuring the global minimum perceivable difference of an image. Background technique [0002] In recent years, video content has gradually developed towards high-quality and high-resolution video, but high-quality video is also accompanied by a huge amount of data. In order to reduce transmission and storage costs, better video compression methods need to be proposed to achieve a balance between compression ratio and video quality. [0003] Traditional video compression methods achieve the purpose of compression by removing spatial and temporal statistical redundancy. In order to obtain better compression efficiency, a more in-depth study of the perceptual redundancy characteristics of the human visual system (HVS) is required. Researchers have used JND (just noticeable difference) to simulate the brightness, contrast and spatiotemporal masking effects of HVS. JND...

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): G06T7/00
Inventor 陈震中刘弘一
Owner WUHAN 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