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Proceedings Paper

Wavelet image coding using intercontext arithmetic adaptation
Author(s): Nikolaos V. Boulgouris; Dimitrios Vyzovitis; Michael G. Strintzis
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Paper Abstract

In this paper, we present a novel approach to overcoming the context dilution problem in context-based entropy coding of images. We propose a family of algorithms that employ similarity among context models to improve the adaptation rate of context models. The proposed scheme employs nonconventional updates of the probability tables kept by the context entropy coder, that extend the notion of symbol occurrence. Preliminary experimental results, obtained using wavelet transformed images, indicate that the basic algorithm indeed improves the performance of conventional context modelers by enhancing the model adaptation rate, and achieve efficiency competitive to well-established algorithms.

Paper Details

Date Published: 19 April 2000
PDF: 8 pages
Proc. SPIE 3974, Image and Video Communications and Processing 2000, (19 April 2000); doi: 10.1117/12.382998
Show Author Affiliations
Nikolaos V. Boulgouris, Aristotle Univ. of Thessaloniki (Greece)
Dimitrios Vyzovitis, Aristotle Univ. of Thessaloniki (Greece)
Michael G. Strintzis, Aristotle Univ. of Thessaloniki (Greece)

Published in SPIE Proceedings Vol. 3974:
Image and Video Communications and Processing 2000
Bhaskaran Vasudev; T. Russell Hsing; Andrew G. Tescher; Robert L. Stevenson, Editor(s)

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