Optimized decomposition basis using Lanczos filters for lossless compression of biomedical images

Jonathan Taquet 1 Claude Labit 1
1 TEMICS - Digital image processing, modeling and communication
IRISA - Institut de Recherche en Informatique et Systèmes Aléatoires, Inria Rennes – Bretagne Atlantique
Abstract : This paper proposes to introduce Lanczos interpolation filters as wavelet atoms in an optimized decomposition for embedded lossy to lossless compression of biomedical images. The decomposition and the Lanczos parameter are jointly optimized in a generic packet structure in order to take into account the various contents of biomedical imaging modalities. Lossless experimental results are given on a large scale database. They show that in comparison with a well known basis using 5/3 biorthogonal wavelets and a dyadic decomposition, the proposed approach allows to improve the compression by more than 10\% on less noisy images and up to 30% on 3D-MRI while providing similar results on noisy datasets.
Type de document :
Communication dans un congrès
2010 IEEE International Workshop on Multimedia Signal Processing (MMSP 2010), Oct 2010, SAINT MALO, France. 2010
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https://hal.inria.fr/inria-00538797
Contributeur : Jonathan Taquet <>
Soumis le : mardi 23 novembre 2010 - 12:41:18
Dernière modification le : jeudi 11 janvier 2018 - 06:20:10

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  • HAL Id : inria-00538797, version 1

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Jonathan Taquet, Claude Labit. Optimized decomposition basis using Lanczos filters for lossless compression of biomedical images. 2010 IEEE International Workshop on Multimedia Signal Processing (MMSP 2010), Oct 2010, SAINT MALO, France. 2010. 〈inria-00538797〉

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