TY - JOUR
T1 - Reduced complexity wavelet-based predictive coding of hyperspectral images for FPGA implementation
AU - Miguel, Agnieszka C.
AU - Askew, Amanda R.
AU - Chang, Alexander
AU - Hauck, Scott
AU - Ladner, Richard E.
AU - Riskin, Eve A.
PY - 2004
Y1 - 2004
N2 - We present 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, we use linear prediction 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, we propose 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.
AB - We present 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, we use linear prediction 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, we propose 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.
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M3 - Conference article
AN - SCOPUS:2642518247
SN - 1068-0314
SP - 469
EP - 478
JO - Data Compression Conference Proceedings
JF - Data Compression Conference Proceedings
T2 - Proceedings - DCC 2004 Data Compression Conference
Y2 - 23 March 2004 through 25 March 2004
ER -