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An information fidelity criterion for image quality assessment using natural scene statistics

Authors :
Sheikh, Hamid Rahim
Bovik, alan Conrad
Veciana, Gustavo de
Source :
IEEE Transactions on Image Processing. Dec, 2005, Vol. 14 Issue 12, p2117, 12 p.
Publication Year :
2005

Abstract

The goal of quality assessment (QA) research is to design algorithms that can automatically assess the quality of images or videos in a perceptually consistent manner. The problem of image QA is approached by proposing a novel information fidelity criterion that is based on natural scene statistics.

Details

Language :
English
ISSN :
10577149
Volume :
14
Issue :
12
Database :
Gale General OneFile
Journal :
IEEE Transactions on Image Processing
Publication Type :
Academic Journal
Accession number :
edsgcl.142221018