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Compression of hyperspectral imagery using hybrid DPCM/DCT and entropy-constrained trellis coded quantization

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1 Author(s)
G. P. Abousleman ; Hughes Space & Communo., Los Angeles, CA, USA

A system is presented for compression of hyperspectral imagery which utilizes trellis coded quantization (TCQ). Specifically, DPCM is used to spectrally decorrelate the hyperspectral data, while a 2-D discrete cosine transform (DCT) coding scheme is used for spatial decorrelation. Entropy-constrained codebooks are designed using a modified version of the generalized Lloyd algorithm. This coder achieves compression ratios of greater than 70:1 with average PSNR of the coded hyperspectral sequence exceeding 40.0 dB

Published in:

Data Compression Conference, 1995. DCC '95. Proceedings

Date of Conference:

28-30 Mar 1995