Block-Based Adaptive Vector Lifting Schemes for Multichannel Image Coding

被引:8
|
作者
Benazza-Benyahia, Amel [1 ]
Pesquet, Jean-Christophe [2 ,3 ]
Hattay, Jamel [1 ]
Masmoudi, Hela [4 ,5 ]
机构
[1] Ecole Super Commun SUPCOM, URISA, Tunis 2083, Tunisia
[2] Univ Marne La Vallee, Inst Gaspard Monge, F-77454 Marne La Vallee 2, France
[3] Univ Marne La Vallee, CNRS, UMR 8049, F-77454 Marne La Vallee 2, France
[4] George Washington Univ, Dept Elect & Comp Engn, Washington, DC 20052 USA
[5] US FDA, Ctr Devices & Radiol Hlth, Div Imaging & Appl Math, Rockville, MD 20852 USA
关键词
D O I
10.1155/2007/13421
中图分类号
TM [电工技术]; TN [电子技术、通信技术];
学科分类号
0808 ; 0809 ;
摘要
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. Copyright (C) 2007 Amel Benazza-Benyahia et al.
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页数:10
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