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Proceedings Paper

Digital Color Image Compression In A Perceptual Space
Author(s): Charles F. Hall; Harry C. Andrews
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Paper Abstract

A nonlinear mathematical model for the human visual system (HVS) is selected as a preprocessing stage for monochrome and color digital image compression. Rate distortion curves and derived power spectra are used to develop coding algorithms in the preprocessed "perceptual space." Black and white image compressions down to .1 bit per pixel are obtained. In addition, color images are compressed to 1 bit per pixel (1/3 bit per pixel per color) with less than 1% mean square error and no visible degradations. Minor distor-tions are incurred with compressions down to 1/4 bit per pixel (1/12 bit per pixel per color). Thus, it appears that the perceptual power spectrum coding technique "puts' the noise where one can not see it. The result is bit rates up to an order of magnitude lower than those previously obtained with comparable quality.

Paper Details

Date Published: 7 December 1978
PDF: 7 pages
Proc. SPIE 0149, Digital Image Processing II, (7 December 1978); doi: 10.1117/12.956684
Show Author Affiliations
Charles F. Hall, University of Southern California (United States)
Harry C. Andrews, University of Southern California (United States)

Published in SPIE Proceedings Vol. 0149:
Digital Image Processing II
Andrew G. Tescher, Editor(s)

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