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

Stereo image quality assessment method based on binocular fusion

A technology for stereo image and quality evaluation, applied in image communication, stereo system, TV and other directions, can solve the problems of inability to obtain evaluation effect, singleness, etc., and achieve the effect of good subjective and objective consistency, excellent accuracy and reliability

Inactive Publication Date: 2019-05-14
TIANJIN UNIV
View PDF9 Cites 0 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

However, when the human eye captures a stereoscopic image, it fuses the left and right viewpoints to form a single image according to the binocular fusion characteristics of vision, so it still cannot achieve a relatively ideal evaluation effect.

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 quality assessment method based on binocular fusion
  • Stereo image quality assessment method based on binocular fusion
  • Stereo image quality assessment method based on binocular fusion

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0057] When measuring the degree of image distortion, the invention adopts the feature of binocular fusion to fuse the quality of the left and right viewpoints to obtain the distortion degree of the stereo image. The experimental results show that the method in this paper has good accuracy.

[0058] The technical solution adopted in the present invention is that the method for evaluating the objective quality of stereo images based on binocular fusion includes the following steps:

[0059] Step 1: Construct a monocular perception model that conforms to human visual characteristics, which consists of a luminance masking module, a texture masking module and a multi-channel decomposition module. original image X 0 After the monocular perception model becomes the perceptual image X V , including the following:

[0060] 1. Original image X 0 After the brightness masking module becomes the brightness mask image X 1

[0061] First compute the original image X 0 The luminance ma...

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 video and image processing field and provides a stereo image quality evaluation method which is in accord with related characteristics of a human visual system and is more effective. Through the method, quality of a stereo image can be more accurately and effectively evaluated, and development of the stereo imaging technology is further facilitated to a certain degree. The method comprises steps that step 1, a monocular perception model in accord with the human visual characteristics is constructed; and step 2, an image distortion degree QD of a perception image Xv acquired at the step 1 is calculated, 1), structure similarity SSIM of left and right view image subblocks is calculated; 2), the final image distortion degree QD is constructed, in combination with eye stereo visual binocular characteristics and visual center significance characteristics, weighted summation of structure similarity indexes of the image subblocks is carried out to calculate a final image distortion degree evaluation score QD. The method is mainly applied to video and image processing.

Description

technical field [0001] The invention belongs to the field of video and image processing, and relates to the improvement and optimization of a stereoscopic image quality evaluation method, in particular to the application of masking effect, multi-channel effect and contrast sensitivity in the human visual system in the objective evaluation of stereoscopic image quality. Background technique [0002] Stereoscopic image technology is a new type of multimedia technology that can provide a sense of visual depth. Compared with plane images, stereoscopic images mainly use the principle of binocular parallax to receive images of left and right channels through binoculars, which brings better viewing experience to viewers. , but also requires more storage space and larger transmission bandwidth. Therefore, efficient compression of stereoscopic images is a key technology to reduce storage costs and relieve network bandwidth pressure. However, reducing the amount of data of stereoscop...

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): H04N17/00H04N13/106
CPCH04N13/106H04N17/00H04N2013/0074
Inventor 李素梅丁学东刘富岩侯春萍
Owner TIANJIN 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