Authors

A. Meyer-Base; K. Jancke; A. Wismuller;M. Georgiopoulos

Comments

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Abbreviated Journal Title

Opt. Eng.

Keywords

fast vector quantization; large codebooks; still image compression; Optics

Abstract

This paper presents a fast K-dimensional 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.

Journal Title

Optical Engineering

Volume

43

Issue/Number

5

Publication Date

1-1-2004

Document Type

Editorial Material

Language

English

First Page

1012

Last Page

1013

WOS Identifier

WOS:000221456900003

ISSN

0091-3286

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