DocumentCode :
463571
Title :
Signed Binary Digit Representation to Simplify 3D-EZW
Author :
Christophe, E. ; Duhamel, Pierre ; Mailhes, Corinne
Author_Institution :
CNES, Toulouse, France
Volume :
1
fYear :
2007
fDate :
15-20 April 2007
Abstract :
Zerotree based coders have shown a good ability to be successfully adapted to 3D image coding. This paper focuses on the adaptation of EZW for the compression of hyperspectral images with reduced complexity. The subordinate pass is removed so that the location of significant coefficients does not need to be kept in memory. To compensate the quality loss due to this removal, a signed binary digit representation is 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.
Keywords :
arithmetic codes; data compression; image coding; image representation; tree codes; 3D image coding; 3D-EZW; arithmetic coding; hyperspectral images compression; signed binary digit representation; zerotree based coders; Arithmetic; Computed tomography; Hyperspectral imaging; Hyperspectral sensors; Image coding; Image sampling; Layout; Pixel; Wavelet coefficients; Wavelet transforms; EZW; Image coding; Signed binary digit representation;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Acoustics, Speech and Signal Processing, 2007. ICASSP 2007. IEEE International Conference on
Conference_Location :
Honolulu, HI
ISSN :
1520-6149
Print_ISBN :
1-4244-0727-3
Type :
conf
DOI :
10.1109/ICASSP.2007.366085
Filename :
4217257
Link To Document :
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