Fast tree-structured vector quantization  method for medical image compression

Anke Meyer-Baese; Uwe Meyer-Baese

doi:10.1117/12.458707

11 March 2002 Fast tree-structured vector quantization method for medical image compression

Anke Meyer-Baese, Uwe Meyer-Baese

Proceedings Volume 4739, Applications and Science of Computational Intelligence V; (2002) https://doi.org/10.1117/12.458707
Event: AeroSense 2002, 2002, Orlando, FL, United States

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.

Citation Download Citation

Anke Meyer-Baese and Uwe Meyer-Baese "Fast tree-structured vector quantization method for medical image compression", Proc. SPIE 4739, Applications and Science of Computational Intelligence V, (11 March 2002); https://doi.org/10.1117/12.458707

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