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

  • Authors:

  • G. P. Abousleman

  • Affiliations:

  • -

  • Venue:
  • DCC '95 Proceedings of the Conference on Data Compression
  • Year:
  • 1995

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Abstract

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.