Hyperspectral image coding using wavelet transforms and trellis-coded quantization

Glen P. Abousleman

doi:10.1117/12.205369

6 April 1995 Hyperspectral image coding using wavelet transforms and trellis-coded quantization

Glen P. Abousleman

Proceedings Volume 2491, Wavelet Applications II; (1995) https://doi.org/10.1117/12.205369
Event: SPIE's 1995 Symposium on OE/Aerospace Sensing and Dual Use Photonics, 1995, Orlando, FL, United States

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.

Citation Download Citation

Glen P. Abousleman "Hyperspectral image coding using wavelet transforms and trellis-coded quantization", Proc. SPIE 2491, Wavelet Applications II, (6 April 1995); https://doi.org/10.1117/12.205369

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