Digital Color Image Compression In A Perceptual Space

Charles F. Hall; Harry C. Andrews

doi:10.1117/12.956684

7 December 1978 Digital Color Image Compression In A Perceptual Space

Charles F. Hall, Harry C. Andrews

Proceedings Volume 0149, Digital Image Processing II; (1978) https://doi.org/10.1117/12.956684
Event: 22nd Annual Technical Symposium, 1978, San Diego, United States

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.

Citation Download Citation

Charles F. Hall and Harry C. Andrews "Digital Color Image Compression In A Perceptual Space", Proc. SPIE 0149, Digital Image Processing II, (7 December 1978); https://doi.org/10.1117/12.956684

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