DocumentCode :
442575
Title :
Improved low-complexity intraband lossless compression of hyperspectral images by means of Slepian-Wolf coding
Author :
Nonnis, A. ; Grangetto, M. ; Magli, E. ; Olmo, G. ; Barni, M.
Author_Institution :
Dip. di Elettronica, Politecnico di Torino, Turin, Italy
Volume :
1
fYear :
2005
fDate :
11-14 Sept. 2005
Abstract :
In remote sensing systems, on-board data compression is a crucial task that has to be carried out with limited computational resources. In this paper we propose a novel lossless compression scheme for multispectral and hyperspectral images, which combines low encoding complexity and high-performance. The encoder is based on distributed source coding concepts, and employs Slepian-Wolf coding of the bitplanes of the CALIC prediction errors to achieve improved performance. Experimental results on AVIRIS data show that the proposed scheme exhibits performance similar to CALIC, and significantly better than JPEG 2000.
Keywords :
geophysical signal processing; image coding; remote sensing; source coding; JPEG 2000; Slepian-Wolf coding; distributed source coding concepts; hyperspectral images; low-complexity intraband lossless compression scheme; multispectral images; onboard data compression; remote sensing systems; Decoding; Decorrelation; Hyperspectral imaging; Hyperspectral sensors; Image coding; Multimedia communication; Remote sensing; Source coding; Transform coding; Wavelet transforms;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Image Processing, 2005. ICIP 2005. IEEE International Conference on
Print_ISBN :
0-7803-9134-9
Type :
conf
DOI :
10.1109/ICIP.2005.1529879
Filename :
1529879
Link To Document :
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