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Proceedings Paper

Psychovisual-based distortion measure for monochrome image compression
Author(s): Navin Chaddha; Teresa H.-Y. Meng
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Paper Abstract

In this paper we describe a quantitative distortion measure for judging the quality of compressed monochrome images based on a psycho-visual model. Our model follows the human vision perception in that the distortion as perceived by a human viewer is dominated by the compression error uncorrelated with the local features of the original image. We have performed subjective tests to obtain the ranking results for images which were compressed using different compression algorithms and compared the results with the rankings obtained using our distortion measure and other existing mean-square error based distortion measures. We have found that our distortion measure's ranking matches the subjective ranking perfectly where as the mean-square error and its variants are only 60% correct on the average.

Paper Details

Date Published: 22 October 1993
PDF: 11 pages
Proc. SPIE 2094, Visual Communications and Image Processing '93, (22 October 1993); doi: 10.1117/12.157928
Show Author Affiliations
Navin Chaddha, Stanford Univ. (United States)
Teresa H.-Y. Meng, Stanford Univ. (United States)

Published in SPIE Proceedings Vol. 2094:
Visual Communications and Image Processing '93
Barry G. Haskell; Hsueh-Ming Hang, Editor(s)

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