Algorithm for image quality measurement using singular value decomposition

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 valu...

Full description

Saved in:
Bibliographic Details
Published inIET Conference on Wireless, Mobile and Sensor Networks 2007 (CCWMSN07) pp. 672 - 675
Main Authors Yuan Fei, Huang Lian-Fen, Yao Yan
Format Conference Proceeding
LanguageEnglish
Published Stevenage IET 2007
Subjects
Algebra
Computer vision and image processing techniques
Optical, image and video signal processing
image processing
distorted image
singular value decomposition
image quality measurement
image matrixes
Online AccessGet full text

Cover

More Information
Summary: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.
ISBN:0863418368
9780863418365
DOI:10.1049/cp:20070237