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Proceedings Paper

Psychophysical Rating Of Image Compression Techniques
Author(s): Charles S. Stein; Andrew B. Watson; Lewis E. Hitchner
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Paper Abstract

Image compression schemes abound with little work which compares their bit-rate performance based on subjective fidelity measures. Statistical measures of image fidelity, such as squared error measures, do not necessarily correspond to subjective measures of image fidelity. Most previous comparisons of compression techniques have been based on these statistical measures. We used a psychophysical method to estimate, for a number of compression techniques, a threshold bit-rate yielding a criterion level of performance in discriminating original and compressed images. The compression techniques studied include Block Truncation, Laplacian Pyramid, Block Discrete Cosine Transform, with and without a human visual system scaling, and Cortex Transform coders.

Paper Details

Date Published: 15 August 1989
PDF: 11 pages
Proc. SPIE 1077, Human Vision, Visual Processing, and Digital Display, (15 August 1989); doi: 10.1117/12.952718
Show Author Affiliations
Charles S. Stein, University of California (United States)
Andrew B. Watson, NASA Ames Research Center (United States)
Lewis E. Hitchner, University of California (United States)

Published in SPIE Proceedings Vol. 1077:
Human Vision, Visual Processing, and Digital Display
Bernice E. Rogowitz, Editor(s)

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