Eureka AIR delivers breakthrough ideas for toughest innovation challenges, trusted by R&D personnel around the world.

Stereoscopic image objective quality evaluation method on basis of structural distortion

A technology of stereoscopic images and evaluation methods, applied in image analysis, image data processing, instruments, etc., can solve problems such as poor consistency, limited understanding, and difficulty in accurately simulating the human eye.

Inactive Publication Date: 2012-10-03
NINGBO UNIV
View PDF6 Cites 12 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

However, due to the limited understanding of the human visual system, it is difficult to accurately simulate the various components of the human eye, so the agreement between these models and subjective perception is not very good

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
  • Stereoscopic image objective quality evaluation method on basis of structural distortion
  • Stereoscopic image objective quality evaluation method on basis of structural distortion
  • Stereoscopic image objective quality evaluation method on basis of structural distortion

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0070] The present invention will be further described in detail below in conjunction with the accompanying drawings and embodiments.

[0071] A method for evaluating the objective quality of a stereoscopic image based on structural distortion proposed by the present invention, which evaluates the image quality of the left and right viewpoints and the stereoscopic perception quality of the stereoscopic image from the perspective of structural distortion, and obtains the final quality of the stereoscopic image in a non-linear weighted manner Evaluation value. figure 1 The overall realization block diagram of the method of the present invention is provided, and it comprises the following steps:

[0072] ① Order S org To be the original undistorted stereo image, let S dis For the distorted stereo image to be evaluated, the original undistorted stereo image S org The left-viewpoint grayscale image of L org , the original undistorted stereo image S org R org , the distorted s...

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 stereoscopic image objective quality evaluation method on the basis of the structural distortion, which comprises the following steps: firstly, respectively carrying out regional division on left and right viewpoint images of an undistorted stereoscopic image and a distorted stereoscopic image to obtain an eye sensitive region and a corresponding nonsensitive region and then respectively obtaining evaluation indexes of the sensitive region and the nonsensitive region from two aspects of the structural amplitude distortion and the structural direction distortion; secondly, acquiring quality evaluation values of the left and right viewpoint images; thirdly, sampling singular value difference and a mean deviation ratio of residual images of which singular values are deprived to evaluate the distortion condition of the depth perception of a stereoscopic image so as to obtain an evaluation value of stereoscopic perceived quality; and finally, combining the quality of the left and right viewpoint images with the stereoscopic perceived quality to obtain a final quality evaluation result of the stereoscopic image. The method disclosed by the invention avoids simulating each composition part of an eye vision system, but sufficiently utilizes structure information of the stereoscopic image, so the consistency of the objective evaluation result and the subjective perception is effectively improved.

Description

technical field [0001] The invention relates to an image quality evaluation technology, in particular to an objective quality evaluation method of a stereoscopic image based on structural distortion. Background technique [0002] Stereoscopic image quality evaluation occupies a very important position in stereoscopic image / video systems. It can not only judge the pros and cons of processing algorithms in stereoscopic image / video systems, but also optimize and design the algorithms to improve stereoscopic image / video processing systems. s efficiency. Stereoscopic image quality assessment methods are mainly divided into two categories: subjective quality assessment and objective quality assessment. The subjective quality evaluation method is to carry out a weighted average comprehensive evaluation of the quality of the three-dimensional image to be evaluated by multiple observers. The system is difficult, so it cannot be widely promoted in practical applications. The object...

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
IPC IPC(8): G06T7/00
Inventor 蒋刚毅毛香英王晓东郁梅周俊明彭宗举邵枫
Owner NINGBO UNIV
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Eureka Blog
Learn More
PatSnap group products