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EURASIP Journal on Image and Video Processing

EURASIP Journal on Image and Video Processing Cover Image
Research Article
Open Access

Block-Based Adaptive Vector Lifting Schemes for Multichannel Image Coding

  • Amel Benazza-Benyahia1Email author,
  • Jean-Christophe Pesquet2,
  • Jamel Hattay1 and
  • Hela Masmoudi3, 4
EURASIP Journal on Image and Video Processing20072007:013421

https://doi.org/10.1155/2007/13421

©  Amel Benazza-Benyahia et al. 2007

Received: 28 August 2006

Accepted: 2 January 2007

Published: 12 April 2007

Abstract

We are interested in lossless and progressive coding of multispectral images. To this respect, nonseparable vector lifting schemes are used in order to exploit simultaneously the spatial and the interchannel similarities. The involved operators are adapted to the image contents thanks to block-based procedures grounded on an entropy optimization criterion. A vector encoding technique derived from EZW allows us to further improve the efficiency of the proposed approach. Simulation tests performed on remote sensing images show that a significant gain in terms of bit rate is achieved by the resulting adaptive coding method with respect to the non-adaptive one.

Keywords

EntropyImage ProcessingPattern RecognitionComputer VisionOptimization Criterion

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Authors’ Affiliations

(1)
Unité de Recherche en Imagerie Satellitaire et ses Applications (URISA), Ecole Supérieure des Communications (SUP'COM), Tunis, Tunisia
(2)
Institut Gaspard Monge and CNRS-UMR 8049, Université de Marne la Vallée, Marne la Vallée Cédex 2, France
(3)
Department of Electrical and Computer Engineering, George Washington University, Washington, USA
(4)
US Food and Drug Administration, Center of Devices and Radiological Health, Division of Imaging and Applied Mathematics, Rockville, USA

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Copyright

© Amel Benazza-Benyahia et al. 2007

This article is published under license to BioMed Central Ltd. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

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