Referenced Items are not available for this document.
A training-sequence-based entropy-constrained predictive trellis coded quantization (ECPTCQ) scheme is presented for encoding autoregressive sources. For encoding a first-order Gauss-Markov source, the mean squared error (MSE) performance of an eight-state ECPTCQ system exceeds that of entropy-constrained differential pulse code modulation (ECDPCM) by up to 1.0 dB. In addition, a hyperspectral image compression system is developed, which utilizes ECPTCQ. A hyperspectral image sequence compressed at 0.125 b/pixel/band retains an average peak signal-to-noise ratio (PSNR) of greater than 43 dB over the spectral bands
Published in:
Image Processing, IEEE Transactions on
(Volume:6
,
Issue:
4
)
Date of Publication: Apr 1997
- Page(s):
- 566 - 573
- ISSN :
- 1057-7149
- INSPEC Accession Number:
- 5544118
- Digital Object Identifier :
- 10.1109/83.563321
- Date of Current Version :
- 06 August 2002
- Issue Date :
- Apr 1997
- Sponsored by :
- IEEE Signal Processing Society
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