Hyperspectral image compression using entropy-constrained predictive trellis coded quantization

@article{Abousleman1997HyperspectralIC,
  title={Hyperspectral image compression using entropy-constrained predictive trellis coded quantization},
  author={Glen P. Abousleman and Michael W. Marcellin and Bobby R. Hunt},
  journal={IEEE transactions on image processing : a publication of the IEEE Signal Processing Society},
  year={1997},
  volume={6 4},
  pages={566-73}
}
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… CONTINUE READING