DocumentCode :
2743067
Title :
Reduced complexity wavelet-based predictive coding of hyperspectral images for FPGA implementation
Author :
Miguel, Agnieszka C. ; Askew, Amanda R. ; Chang, Alexander ; Hauck, Scott ; Ladner, Richard E. ; Riskin, Eve A.
Author_Institution :
Dept. of Electr. Eng., Washington Univ., Seattle, WA, USA
fYear :
2004
fDate :
23-25 March 2004
Firstpage :
469
Lastpage :
478
Abstract :
This paper presents an algorithm for lossy compression of hyperspectral images for implementation on field programmable gate arrays (FPGA). To greatly reduce the bit rate required to code images, linear prediction is used between the bands to exploit the large amount of inter-band correlation. The prediction residual is compressed using the set partitioning in hierarchical trees algorithm. To reduce the complexity of the predictive encoder, this paper proposes a bit plane-synchronized closed loop predictor that does not require full decompression of a previous band at the encoder. The new technique achieves almost the same compression ratio as standard closed loop predictive coding and has a simpler on-board implementation.
Keywords :
computational complexity; data compression; field programmable gate arrays; image coding; linear predictive coding; transform coding; wavelet transforms; FPGA; bit plane-synchronized closed loop predictor; field programmable gate array; hierarchical trees algorithm; hyperspectral image; inter-band correlation; linear prediction; lossy compression; set partitioning; standard closed loop predictive coding; wavelet-based predictive coding; Bit rate; Decoding; Field programmable gate arrays; Hyperspectral imaging; Image coding; MODIS; NASA; Partitioning algorithms; Predictive coding; Satellites;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Data Compression Conference, 2004. Proceedings. DCC 2004
ISSN :
1068-0314
Print_ISBN :
0-7695-2082-0
Type :
conf
DOI :
10.1109/DCC.2004.1281492
Filename :
1281492
Link To Document :
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