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Proceedings Paper

Wavelet-based hyperspectral image coding using robust fixed-rate 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 robust 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. Fixed-rate codebooks are designed using a modified version of the generalized Lloyd algorithm. This system achieves a compression ratio of greater than 70:1, with an average PSNR of the coded hyperspectral sequence exceeding 40 dB.

Paper Details

Date Published: 2 July 1998
PDF: 12 pages
Proc. SPIE 3372, Algorithms for Multispectral and Hyperspectral Imagery IV, (2 July 1998); doi: 10.1117/12.312610
Show Author Affiliations
Glen P. Abousleman, Motorola (United States)

Published in SPIE Proceedings Vol. 3372:
Algorithms for Multispectral and Hyperspectral Imagery IV
Sylvia S. Shen; Michael R. Descour, Editor(s)

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