Lossless image compression based on optimal prediction, adaptive lifting, and conditional arithmetic coding

@article{Boulgouris2001LosslessIC,
  title={Lossless image compression based on optimal prediction, adaptive lifting, and conditional arithmetic coding},
  author={Nikolaos V. Boulgouris and Dimitrios Tzovaras and Michael G. Strintzis},
  journal={IEEE transactions on image processing : a publication of the IEEE Signal Processing Society},
  year={2001},
  volume={10 1},
  pages={1-14}
}
The optimal predictors of a lifting scheme in the general n-dimensional case are obtained and applied for the lossless compression of still images using first quincunx sampling and then simple row-column sampling. In each case, the efficiency of the linear predictors is enhanced nonlinearly. Directional postprocessing is used in the quincunx case, and adaptive-length postprocessing in the row-column case. Both methods are seen to perform well. The resulting nonlinear interpolation schemes… CONTINUE READING
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