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Proceedings Paper

Hyperspectral image coding using wavelet transforms and trellis-coded quantization
Author(s): Glen P. Abousleman
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Paper Abstract

A system is presented for compression of hyperspectral imagery. Specifically, DPCM is used for spectral decorrelation, while a 2-D discrete wavelet coding scheme is used for spatial decorrelation. Trellis coded quantization is used to encode the wavelet coefficients. Side information and rate allocation strategies are discussed. Entropy-constrained codebooks are designed using a modified version of the generalized Lloyd algorithm. This entropy constrained system achieves a compression ratio of greater than 70:1 with an average PSNR of the coded hyperspectral sequence approaching 41 dB.

Paper Details

Date Published: 6 April 1995
PDF: 11 pages
Proc. SPIE 2491, Wavelet Applications II, (6 April 1995); doi: 10.1117/12.205369
Show Author Affiliations
Glen P. Abousleman, Hughes Space and Communications (United States)


Published in SPIE Proceedings Vol. 2491:
Wavelet Applications II
Harold H. Szu, Editor(s)

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