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

Stereo image objective quality evaluation method base on matrix decomposition

A technology of stereoscopic images and evaluation methods, applied in image analysis, image data processing, instruments, etc., can solve problems such as poor consistency and lack of consideration of depth perception of stereoscopic images.

Inactive Publication Date: 2015-06-17
NINGBO UNIV
View PDF3 Cites 0 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

These two image quality evaluation methods are mainly used to evaluate the quality of planar images. Since they lack the depth perception of stereoscopic images, if they are used to evaluate the quality of stereoscopic images, the consistency between the objective evaluation results and subjective perception will be bad

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
  • Stereo image objective quality evaluation method base on matrix decomposition
  • Stereo image objective quality evaluation method base on matrix decomposition
  • Stereo image objective quality evaluation method base on matrix decomposition

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0083] The present invention will be further described in detail below in conjunction with the accompanying drawings and embodiments.

[0084] A method for objective quality evaluation of stereoscopic images based on matrix decomposition proposed by the present invention, which obtains a stereoscopic image quality evaluation index by nonlinear combination of image quality evaluation of left and right viewpoint images and stereoscopic image depth perception evaluation, and its overall realization block diagram Such as figure 1 As shown, it specifically includes the following steps:

[0085] ① Order S orgTo be the original undistorted stereo image, let S dis For the distorted stereo image to be evaluated, set S org L org , the S org The right-view image of R org , the S dis L dis , the S dis The right-view image of R dis .

[0086] ② put L org , R org , L dis and R dis The four images are divided into (W-3)×(H-3) overlapping image blocks with a size of 4×4. Here, ...

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 stereo image objective quality evaluation method base on matrix decomposition which is designed from the aspect of structure distortion, capable of effectively using singular value stability, well representing stereo image structure information, making use of the fact that a hessian matrix can well represent of image texture or bump, making use of the fact that singular value can well represent structure information of an absolute difference value figure, fully considering sensitivity of a human eye to an area, integrating stereo image quality and depth perception quality, effectively improving relevance between stereo image objective quality evaluation result and subjective perception, accurately measuring distortion degree of the stereo image, and providing a performance evaluation criterion for an encoding method, a drawing method, an error hiding method and the like in a stereo system.

Description

technical field [0001] The invention relates to an image quality evaluation method, in particular to an objective quality evaluation method of stereoscopic images based on matrix decomposition. Background technique [0002] With the rapid development of Internet, communication, multimedia information and image processing technology, the application of stereoscopic image technology is more and more extensive, such as in stereoscopic digital TV, 3D video conferencing system, consumer electronics and many other fields. However, stereoscopic images with a sense of depth and presence will cause quality loss in areas such as image acquisition, encoding and compression, and network transmission, so how to measure the degree of this distortion is very important. At present, the methods used to evaluate image quality mainly include: the method of image quality evaluation using the peak signal-to-noise ratio of the plane and the method of image quality evaluation using linear weightin...

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 蒋刚毅毛香英郁梅朱江英王晓东彭宗举邵枫
Owner NINGBO 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