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Proceedings Paper

Applications Of Physiological Human Visual System Model To Image Compression
Author(s): Kou-Hu Tzou; To R. Hsing; J. G. Dunham
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Paper Abstract

Over the past ten years many mathematical models of the human visual system (HVS) have been proposed for image processing applications.1-8 It has become clear that incorporating factors accounting for human perception can significantly improve overall picture quality. The purpose of this paper is to address the importance of applying the HVS model to image processing. In order to obtain good image quality at low bandwidth, it is proposed that a physiologically-based HVS model be incorporated with image compression systems. The physiological model needs no adjustment for input image as is required in the psychophysical model.

Paper Details

Date Published: 4 December 1984
PDF: 6 pages
Proc. SPIE 0504, Applications of Digital Image Processing VII, (4 December 1984); doi: 10.1117/12.944891
Show Author Affiliations
Kou-Hu Tzou, GTE Laboratories Incorporated (United States)
To R. Hsing, GTE Laboratories Incorporated (United States)
J. G. Dunham, Southern Methodist University (United States)

Published in SPIE Proceedings Vol. 0504:
Applications of Digital Image Processing VII
Andrew G. Tescher, Editor(s)

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