6 April 1995 Hyperspectral image coding using wavelet transforms and trellis-coded quantization
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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.
© (1995) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Glen P. Abousleman, Glen P. Abousleman, } "Hyperspectral image coding using wavelet transforms and trellis-coded quantization", Proc. SPIE 2491, Wavelet Applications II, (6 April 1995); doi: 10.1117/12.205369; https://doi.org/10.1117/12.205369


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