DocumentCode :
2794367
Title :
The new CCSDS image compression recommendation
Author :
Yeh, Pen-Shu ; Armbruster, Philippe ; Kiely, Aaron ; Masschelein, Bart ; Moury, Gilles ; Schaefer, Christoph ; Thiebaut, Carole
Author_Institution :
NASA/GSFC, Greenbelt, MD
fYear :
2005
fDate :
5-12 March 2005
Firstpage :
4138
Lastpage :
4145
Abstract :
The consultative committee for space data systems (CCSDS) data compression working group has recently adopted a recommendation for image data compression, with a final release expected in 2005. The algorithm adopted in the recommendation consists of a two-dimensional discrete wavelet transform of the image, followed by progressive bit-plane coding of the transformed data. The algorithm can provide both lossless and lossy compression, and allows a user to directly control the compressed data volume or the fidelity with which the wavelet-transformed data can be reconstructed. The algorithm is suitable for both frame-based image data and scan-based sensor data, and has applications for near-Earth and deep-space missions. The standard will be accompanied by free software sources on a future Web site. An application-specific integrated circuit (ASIC) implementation of the compressor is currently under development. This paper describes the compression algorithm along with the requirements that drove the selection of the algorithm. Performance results and comparisons with other compressors are given for a test set of space images
Keywords :
Earth; data compression; discrete wavelet transforms; 2D discrete wavelet transform; ASIC implementation; CCSDS; application-specific integrated circuit implementation; consultative committee for space data systems; deep-space mission; frame-based image data; image compression recommendation; image data compression; lossless compression; lossy compression; near-Earth mission; progressive bit-plane coding; scan-based sensor data; space images; transformed data; wavelet-transformed data; Application software; Application specific integrated circuits; Compression algorithms; Data compression; Data systems; Discrete wavelet transforms; Image coding; Image reconstruction; Image sensors; Software standards;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Aerospace Conference, 2005 IEEE
Conference_Location :
Big Sky, MT
Print_ISBN :
0-7803-8870-4
Type :
conf
DOI :
10.1109/AERO.2005.1559719
Filename :
1559719
Link To Document :
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