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Proceedings Paper

The Application Of Human Visual System Models To Digital Color Image Compression
Author(s): Charles F. Hall
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Paper Abstract

A nonlinear mathematical model for the human visual system (HVS) was selected as a pre-processing stage for monochrome and color digital image compression. Rate distortion curves and derived power spectra were used to develop coding algorithms in the preprocessed "perceptual space." Black and white images were compressed to 0.1 bit per pel. In addition, color images were compressed to 1 bit per pel (1/3 bit per pel per color) with less than 1 percent mean square error and no visible degradations. Minor distortions are in-curred with compressions down to 1/4 bit per pel (1/2 bit per pel per color). It appears that the perceptual power spectrum coding technique "puts" the noise where one cannot see it. The result is bit rates up to an order of magnitude lower than those previously obtained with comparable quality. In addition, the model leads to an image quality metric which compares to subjective evaluations of an extensive image set with a correlation of 0.92.

Paper Details

Date Published: 1 May 1986
PDF: 9 pages
Proc. SPIE 0594, Image Coding, (1 May 1986); doi: 10.1117/12.952192
Show Author Affiliations
Charles F. Hall, Harris Corporation (United States)


Published in SPIE Proceedings Vol. 0594:
Image Coding
Thomas S. Huang; Murat Kunt, Editor(s)

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