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A unifying framework for lossless and progressive image coding

✍ Scribed by Amel Benazza-Benyahia; Jean-Christophe Pesquet

Publisher: Elsevier Science
Year: 2002
Tongue: English
Weight: 297 KB
Volume: 35
Category: Article
ISSN: 0031-3203
DOI: 10.1016/s0031-3203(01)00065-6

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✦ Synopsis

Progressive coding is a desirable feature for image database telebrowsing or image transmissions over low bandwidth channels. Furthermore, for some applications, exact image reconstruction is required. In this paper, we show that most of the lossless and progressive coders can be described by a common nonlinear subband decomposition scheme. This unifying framework provides useful guidelines for the analysis and improvement of the considered decomposition methods. Finally, we compare the respective performances of these methods in terms of Shannon entropy for several images and also evaluate their compression ability when combined with a hierarchical coding technique.

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