Tuyển tập báo cáo các nghiên cứu khoa học quốc tế ngành hóa học dành cho các bạn yêu hóa học tham khảo đề tài: Research Article Block-Based Adaptive Vector Lifting Schemes for Multichannel Image Coding | Hindawi Publishing Corporation EURASIP Journal on Image and Video Processing Volume 2007 Article ID 13421 10 pages doi 2007 13421 Research Article Block-Based Adaptive Vector Lifting Schemes for Multichannel Image Coding Amel Benazza-Benyahia 1 Jean-Christophe Pesquet 2 Jamel Hattay 1 and Hela Masmoudi3 4 1 Unite de Recherche en Imagerie Satellitaire et ses Applications URISA Ecole Superieure des Communications SUP COM Tunis2083 Tunisia 2Institut Gaspard Monge and CNRS-UMR 8049 Universite de Marne la Vallee 77454 Marne la Vallee Cedex 2 France 3 Department of Electrical and Computer Engineering George Washington University Washington DC 20052 USA 4 US Food and Drug Administration Center of Devices and Radiological Health Division of Imaging and Applied Mathematics Rockville MD 20852 USA Received 28 August 2006 Revised 29 December 2006 Accepted 2 January 2007 Recommended by E. Fowler 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 2007 Amel Benazza-Benyahia et al. 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. 1. INTRODUCTION The interest in multispectral imaging has been increasing in many fields such as agriculture and environmental sciences. In this context each earth portion is
