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

Visual comfort prediction and non-linear mapping visual comfort enhancement method based on saliency self-adaptability

A non-linear mapping and self-adaptive technology, applied in TV, electrical components, stereo system, etc., can solve the problems of inconspicuousness, achieve good correlation, easy parallax adjustment, and enhance visual comfort

Inactive Publication Date: 2015-03-25
XIDIAN UNIV
View PDF3 Cites 10 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

However, when the disparity range of the original image exceeds the determined visual comfort zone, the effect of reducing visual discomfort by this method will not be obvious

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
  • Visual comfort prediction and non-linear mapping visual comfort enhancement method based on saliency self-adaptability
  • Visual comfort prediction and non-linear mapping visual comfort enhancement method based on saliency self-adaptability
  • Visual comfort prediction and non-linear mapping visual comfort enhancement method based on saliency self-adaptability

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0046] refer to figure 1 , the implementation steps of the present invention are as follows:

[0047] Step 1. Significant estimation

[0048] 1a) Read in a left view image I of a 2D color image l , using the GBVS method to obtain its color saliency map S I ;

[0049] 1b) Read in the left view image I of a 2D color image l and the right view image I r , using the DERS estimation method to obtain its disparity saliency map S D ;

[0050] Step 2. Synthesize a salient adaptive disparity map

[0051] 2a) First to S I Perform normalization processing to convert its pixel value into a double-precision value in the range of [0,1] to indicate its significance. If the pixel value of a certain point is closer to 0, it indicates that the point is less significant; if the pixel value of a certain point is closer to 1, it indicates that the point is more significant. Normalization formula: where S I (x, y) represents the significant value at the (x, y) pixel;

[0052] 2b) put ...

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 belongs to the technical field of 3D display, and particularly discloses a visual comfort prediction and non-linear mapping visual comfort enhancement method based on saliency self-adaptability. The method includes the implementation steps that firstly, a color saliency map and a parallax saliency map of images are extracted; secondly, the color saliency map is normalized, a normalization value serves as a weight and is multiplied by the parallax saliency map, and then a saliency self-adaptability parallax map is acquired; thirdly, saliency discomfort regions are extracted through threshold segmentation; fourthly, parallax characteristics are extracted, visual comfort is estimated based on SVR, VC values are calculated, and visualization operation is conducted; fifthly, non-linear mapping is conducted on the saliency self-adaptability parallax map; sixthly, through the DIBR technology, the mapped parallax map and an original right view serve as input, and virtual images are synthesized. The predicted visual comfort is higher in relevance compared with visual comfort acquired through subjective evaluation, excessive parallax is reduced, saliency information of the images is kept, the visual comfort of the three-dimensional images is improved, and the method can be widely used for 3D display.

Description

technical field [0001] The invention belongs to the technical field of 3D stereoscopic display, and relates to a method for predicting and enhancing visual comfort, which can be used in stereoscopic display with high requirements for comfort, in particular to a visual comfort prediction and non-linear mapping method based on significant self-adaptation Visual comfort enhancement method. Background technique [0002] With the rapid development of 3D stereoscopic display technology, people can personally experience the double impact of 3D on vision and perception. But there are some crucial problems in the process of stereo viewing, such as: visual discomfort, visual fatigue and so on. For the widespread use of stereoscopic display technology, it is necessary to create a comfortable and safe viewing environment for viewers. There are many factors that cause visual discomfort, including excessive parallax, mismatch of left and right images, conflict of depth information, etc....

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): H04N17/00H04N13/00
Inventor 郑喆坤刘红民王帅崔玉金重圭尹仁龙权炳贤
Owner XIDIAN 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