Block-based adaptive vector lifting schemes for multichannel image coding

Authors:
Amel Benazza-Benyahia;Jean-Christophe Pesquet;Jamel Hattay;Hela Masmoudi
Affiliations:
Unité de Recherche en Imagerie Satellitaire et ses Applications (URISA), Ecole Supérieure des Communications (SUP'COM), Tunis, Tunisia;Institut Gaspard Monge and CNRS-UMR, Université de Marne la Vallée, Marne la Vallée Cédex, France;Unité de Recherche en Imagerie Satellitaire et ses Applications (URISA), Ecole Supérieure des Communications (SUP'COM), Tunis, Tunisia;Department of Electrical and Computer Engineering, George Washington University, Washington, DC and US Food and Drug Administration, Center of Devices and Radiological Health, Division of Imaging ...
Venue:
Journal on Image and Video Processing
Year:
2007

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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.