Digital Color Image Compression In A Perceptual Space
Charles Francis Hall, Harry C. Andrews · Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE · 1978
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 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.© (1978) COPYRIGHT SPIE--The International Society for Optical Engineering. Downloading of the abstract is permitted for personal use only.