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

Three-dimensional image quality evaluation method based on gradient information guided binocular view fusion

A technology of stereo image and gradient information, applied in the field of image processing

Active Publication Date: 2018-01-12
ZHEJIANG UNIV
View PDF4 Cites 23 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0005] The purpose of the method of the present invention is to provide a stereoscopic image quality evaluation method based on gradient information to guide binocular view fusion for the deficiencies of the existing stereoscopic image quality evaluation methods

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
  • Three-dimensional image quality evaluation method based on gradient information guided binocular view fusion
  • Three-dimensional image quality evaluation method based on gradient information guided binocular view fusion
  • Three-dimensional image quality evaluation method based on gradient information guided binocular view fusion

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0069] The method of the present invention will be further described below in conjunction with the accompanying drawings.

[0070] Such as figure 1 As shown, the stereoscopic image quality evaluation algorithm based on gradient information to guide binocular view fusion, its specific implementation steps are as follows:

[0071] Step (1). Use Matlab software to sequentially read the reference stereo image pairs and corresponding distorted stereo image pairs of phase I and phase II in the 3D LIVE image database of the University of Texas at Austin, where each stereo image pair includes left and right views respectively image.

[0072] Step (2). Utilize the Sobel operator to carry out the convolution operation processing to the stereoscopic image input in step (1), obtain the gradient map GM of the left and right views in the stereoscopic image pair respectively;

[0073] Step (3). Utilize the LoG operator to carry out convolution operation processing to the stereo image input...

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 three-dimensional image quality evaluation method based on gradient information guided binocular view fusion. According to the method, a Sobel operator and a LoG operator areutilized to construct a united statistical gradient map which serves as a weight map for binocular view fusion, and a corresponding intermediate reference image and a corresponding intermediate distortion image are obtained; then, image feature information extraction is performed on the intermediate images, wherein image feature information comprises edge information, texture information and contrast information, and depth information is extracted from a disparity map of a reference and distortion three-dimensional image pair; and last, a final image quality objective evaluation score is obtained through measurement of a feature similarity and SVR-based feature integration and quality mapping, and measurement of three-dimensional image quality loss is realized. Experiment results show that an algorithm proposed based on the method has good accuracy and robustness.

Description

technical field [0001] The invention belongs to the technical field of image processing, and in particular relates to a stereoscopic image quality evaluation method for guiding binocular view fusion based on gradient information. Background technique [0002] A complete stereoscopic video system consists of collection, encoding, transmission, decoding and display. Compared with our daily plane shooting, the stereoscopic image video capture system is very different. It uses multiple cameras to shoot the same scene at the same time, which is divided into two modes: convergent camera and parallel camera. The encoding link is used to implement compression encoding of the collected video, the purpose of which is to facilitate compression and transmission. The decoding link is used to quickly decode the transmitted video, and the purpose is to quickly display the stereoscopic video. [0003] However, 3D stereoscopic images and videos may introduce different types and degrees of ...

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): G06T7/00G06T5/50
Inventor 丁勇孙光明宋鹏飞孙阳阳周一博
Owner ZHEJIANG 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