Wavelet-based hyperspectral image coding using robust fixed-rate trellis-coded quantization

Glen P. Abousleman

doi:10.1117/12.312610

2 July 1998 Wavelet-based hyperspectral image coding using robust fixed-rate trellis-coded quantization

Glen P. Abousleman

Proceedings Volume 3372, Algorithms for Multispectral and Hyperspectral Imagery IV; (1998) https://doi.org/10.1117/12.312610
Event: Aerospace/Defense Sensing and Controls, 1998, Orlando, FL, United States

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.

Citation Download Citation

Glen P. Abousleman "Wavelet-based hyperspectral image coding using robust fixed-rate trellis-coded quantization", Proc. SPIE 3372, Algorithms for Multispectral and Hyperspectral Imagery IV, (2 July 1998); https://doi.org/10.1117/12.312610

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