tailieunhanh - Báo cáo hóa học: " Research Article Adaptation of Zerotrees Using Signed Binary Digit Representations for 3D Image Coding"

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 Adaptation of Zerotrees Using Signed Binary Digit Representations for 3D Image Coding | Hindawi Publishing Corporation EURASIP Journal on Image and Video Processing Volume 2007 Article ID 54679 7 pages doi 2007 54679 Research Article Adaptation of Zerotrees Using Signed Binary Digit Representations for 3D Image Coding Emmanuel Christophe 1 2 Pierre Duhamel 3 and Corinne Mailhes2 1 CNES BPI1219 18 avenue Edourad Belin 31401 Toulouse cedex 9 France 2 TeSA IRIT 14 port St Etienne 31000 Toulouse France 3 CNRS LSS Supelec Plateau de Moulon 91192 Gif-sur-Yvette France Received 15 August 2006 Revised 16 December 2006 Accepted 18 December 2006 Recommended by James E. Fowler Zerotrees of wavelet coefficients have shown a good adaptability for the compression of three-dimensional images. EZW the original algorithm using zerotree shows good performance and was successfully adapted to 3D image compression. This paper focuses on the adaptation of EZW for the compression of hyperspectral images. The subordinate pass is suppressed to remove the necessity to keep the significant pixels in memory. To compensate the loss due to this removal signed binary digit representations are used to increase the efficiency of zerotrees. Contextual arithmetic coding with very limited contexts is also used. Finally we show that this simplified version of 3D-EZW performs almost as well as the original one. Copyright 2007 Emmanuel Christophe 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 Since the publication of the Grossmann and Morlet paper 1 theory and applications concerning wavelets have improved. Theory on wavelets was progressively refined in several papers . 2 3 . Originally applications concerned mostly the data analysis field and more precisely in the timescale analysis. However their efficiency to represent complex signals with a limited number of generating functions raised an .