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Proceedings Paper

Fast tree-structured vector quantization method for medical image compression
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Paper Abstract

This paper presents a tree-based search method to speed up the encoding process for vector quantization. The method is especially designed for very large codebooks and is based on a local search rather than on a global search including the whole feature space. The relations between the proposed method and several existing fast algorithms are discussed. Simulation results demonstrate that with little preprocessing and memory cost, the encoding time of the new algorithm has been reduced significantly while encoding quality remains the same with respect to other existing fast algorithms.

Paper Details

Date Published: 11 March 2002
PDF: 8 pages
Proc. SPIE 4739, Applications and Science of Computational Intelligence V, (11 March 2002); doi: 10.1117/12.458707
Show Author Affiliations
Anke Meyer-Baese, Florida State Univ. (United States)
Uwe Meyer-Baese, Florida State Univ. (United States)

Published in SPIE Proceedings Vol. 4739:
Applications and Science of Computational Intelligence V
Kevin L. Priddy; Paul E. Keller; Peter J. Angeline, Editor(s)

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