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Proceedings Paper

Clustering algorithm for entropy-constrained vector-quantizer design
Author(s): Weiler A. Finamore; Diego Pinto de Garrido; William A. Pearlman
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Paper Abstract

A clustering algorithm for the design of efficient vector quantizers to be followed by entropy coding is proposed. The algorithm generates a sequence of quantizers whith rates close to theoretical rate- distortion bound. A fast version of this algorithm can be used as an alternative to the entropy-constrained vector quantizer technique proposed by Chou, Lookabaugh and Gray.

Paper Details

Date Published: 1 September 1990
PDF: 10 pages
Proc. SPIE 1360, Visual Communications and Image Processing '90: Fifth in a Series, (1 September 1990); doi: 10.1117/12.24272
Show Author Affiliations
Weiler A. Finamore, IBM/Rio Scientific Ctr. (Brazil)
Diego Pinto de Garrido, IBM/Rio Scientific Ctr. (Brazil)
William A. Pearlman, Rensselaer Polytechnic Institute (United States)

Published in SPIE Proceedings Vol. 1360:
Visual Communications and Image Processing '90: Fifth in a Series
Murat Kunt, Editor(s)

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