Cart (Loading....) | Create Account
Close category search window

Algorithm for image quality measurement using singular value decomposition

Sign In

Cookies must be enabled to login.After enabling cookies , please use refresh or reload or ctrl+f5 on the browser for the login options.

Formats Non-Member Member
$31 $31
Learn how you can qualify for the best price for this item!
Become an IEEE Member or Subscribe to
IEEE Xplore for exclusive pricing!
close button

puzzle piece

IEEE membership options for an individual and IEEE Xplore subscriptions for an organization offer the most affordable access to essential journal articles, conference papers, standards, eBooks, and eLearning courses.

Learn more about:

IEEE membership

IEEE Xplore subscriptions

3 Author(s)
Yuan Fei ; Dept. of Commun. Eng., Xiamen Univ., Xiamen ; Huang Lian-Fen ; Yao Yan

In this paper we presented an algorithm for image quality measurement based on HVS properties and singular value decomposition. Both of the original and the distorted image are first pre-processed according to HVS properties and then their image matrixes are transformed into vectors by singular value decomposition. By comparing the angle between singular vectors of the original image and the distorted one, the quality of an image can be measured. The algorithm can be sensible to the perceptual error and can be implemented easily. We validated the performance of this algorithm using an extensive study involving many types of images, and the experiment result shows that it has good correlation with the subjective score.

Published in:

Wireless, Mobile and Sensor Networks, 2007. (CCWMSN07). IET Conference on

Date of Conference:

12-14 Dec. 2007

Need Help?

IEEE Advancing Technology for Humanity About IEEE Xplore | Contact | Help | Terms of Use | Nondiscrimination Policy | Site Map | Privacy & Opting Out of Cookies

A not-for-profit organization, IEEE is the world's largest professional association for the advancement of technology.
© Copyright 2014 IEEE - All rights reserved. Use of this web site signifies your agreement to the terms and conditions.