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Proceedings Paper

Visually lossless compression of color images
Author(s): Ronald S. Gentile; Jan P. Allebach; Eric Walowit
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Paper Abstract

A technique is presented for intraframe color image data compression which produces visually lossless imagery compared to the original. This algorithm consists of a color vector quantizer operating in the Luv uniform color space, followed by a reversible codeword assignment strategy that uses prediction to achieve conditional entropy type bit rates. Unlike differential pulse code modulation (DPCM), predicted values are used for codebook selection instead of the computation and coding of a residual signal.

Paper Details

Date Published: 1 August 1990
PDF: 12 pages
Proc. SPIE 1258, Image Communications and Workstations, (1 August 1990); doi: 10.1117/12.19963
Show Author Affiliations
Ronald S. Gentile, Purdue Univ. (United States)
Jan P. Allebach, Purdue Univ. (United States)
Eric Walowit, Mead Imaging (United States)

Published in SPIE Proceedings Vol. 1258:
Image Communications and Workstations
Walter Bender; Mitsunaga Saito, Editor(s)

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