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

Level selection visual attention mechanism-based image JND threshold calculating method in pixel domain

A visual attention and selective technology, applied in the field of image/video coding, can solve the problems of rarely considering the characteristics of the human visual system and psychological effects, and achieve the effect of good visual quality

Inactive Publication Date: 2014-02-26
TONGJI UNIV
View PDF3 Cites 12 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0002] Traditional image / video coding technology mainly compresses and codes spatial redundancy, time domain redundancy, and statistical redundancy, but rarely considers the characteristics and psychological effects of the human visual system, so a large amount of visual redundant data is encoded and transmitted , in order to further improve the efficiency of coding, the researchers started research on removing visual redundancy

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
  • Level selection visual attention mechanism-based image JND threshold calculating method in pixel domain
  • Level selection visual attention mechanism-based image JND threshold calculating method in pixel domain
  • Level selection visual attention mechanism-based image JND threshold calculating method in pixel domain

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0032] Below in conjunction with accompanying drawing, the present invention will be further described with specific example:

[0033] The example that the present invention provides adopts MATLAB7 as the simulation experiment platform, with the bmp color image of 768*512 (such as figure 2 shown) as the selected test image, the following describes this example in detail with each step:

[0034]Steps (1) to (3) calculate the basic JND threshold, and the calculation method is the same as the calculation method of the JND model threshold proposed by Yang et al. in the prior art document 1.

[0035] Step (1), select the 768*512 bmp color image as the input test image, calculate the adaptive threshold based on the background brightness for the image, and take the maximum value of the background brightness model and the spatial mask model as the adaptive threshold. Its calculation formula is as follows:

[0036] (1)

[0037] in bg ( x,y )and mg ( x,y ) ...

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, which belongs to the technical field of image / video coding, relates to a level selection visual attention mechanism-based image just-noticeable-distortion (JND) threshold calculating method in a pixel domain. According to the technical scheme, the provided method comprises the following steps: S1, calculating a background brightness adaptive threshold for an original input image; S2, calculating an edge-based texture masking threshold for an image; S3, adding the brightness adaptive threshold obtained in the step S1 and the texture masking threshold obtained in the step S2 and subtracting a superposed portion of the two threshold so as to obtain a basic JND threshold; S4, according to the size of the input image, setting a level value of level selection; S5, carrying out downsampling on the original input image at different resolution ratios and carrying out saliency map detection on the image at the different resolution ratios by utilizing a quaternion fourier phase spectrum (PQFT) saliency detection method; and S6, carrying out sampling on the saliency map at different resolution ratios so as to obtain the resolution ratio of the original image. According to the invention, more noises can be accommodated; and a good visual quality is realized.

Description

technical field [0001] The invention relates to the technical field of image / video coding. technical background [0002] Traditional image / video coding technology mainly compresses and codes spatial redundancy, time domain redundancy, and statistical redundancy, but rarely considers the characteristics and psychological effects of the human visual system, so a large amount of visual redundant data is encoded and transmitted , in order to further improve the efficiency of coding, researchers have started research on removing visual redundancy. At present, an effective method to represent visual redundancy is the least detectable distortion model based on psychology and physiology, referred to as the JND model, which can also be called the just detectable distortion model, that is, the changes that the human eye cannot perceive, due to various human eyes. The shielding effect means that the human eye can only perceive noise above a certain threshold, which is the just detecta...

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): H04N19/147H04N19/154
Inventor 张冬冬高利晶臧笛孙杳如
Owner TONGJI 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