Applications Of Physiological Human Visual System Model To Image Compression

Kou-Hu Tzou; To R. Hsing; J. G. Dunham

doi:10.1117/12.944891

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4 December 1984 Applications Of Physiological Human Visual System Model To Image Compression

Kou-Hu Tzou, To R. Hsing, J. G. Dunham

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Proceedings Volume 0504, Applications of Digital Image Processing VII; (1984) https://doi.org/10.1117/12.944891
Event: 28th Annual Technical Symposium, 1984, San Diego, United States

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.

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Kou-Hu Tzou, To R. Hsing, and J. G. Dunham "Applications Of Physiological Human Visual System Model To Image Compression", Proc. SPIE 0504, Applications of Digital Image Processing VII, (4 December 1984); https://doi.org/10.1117/12.944891

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