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Proceedings Paper

Comparative evaluation of different techniques in image vector quantization
Author(s): Fabio Lavagetto; Sandro Zappatore
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Paper Abstract

This paper presents and compares different Vector Quantization techniques for image coding. First the Linde- Buzo-Gray (LBG) technique is considered whose effectivness is known in achieving a minimum distortion partition of the training vector hyperspace: the convergency of the seed points toward the centroids of a sb1e configuration is discussed. Two other approaches are then examined: the first one based on Cohonen neural rt"tworks the second one based on a tree structure to reduce the computational burden during the codebook construction and the actual coding. Perfoimance evaluation is made in terms of bitrate and reconstruction distortion. Experimental results and performance curves are also reported concerning application to static image coding.

Paper Details

Date Published: 1 November 1990
PDF: 11 pages
Proc. SPIE 1349, Applications of Digital Image Processing XIII, (1 November 1990); doi: 10.1117/12.23531
Show Author Affiliations
Fabio Lavagetto, Univ. di Genoa (Italy)
Sandro Zappatore, Univ. di Genoa (Italy)

Published in SPIE Proceedings Vol. 1349:
Applications of Digital Image Processing XIII
Andrew G. Tescher, Editor(s)

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