L/sub /spl infin//-constrained high-fidelity image compression via adaptive context modeling

@article{Wu1997LsubI,
  title={L/sub /spl infin//-constrained high-fidelity image compression via adaptive context modeling},
  author={Xiaolin Wu and Wai Kin Choi and Paul Bao},
  journal={Proceedings DCC '97. Data Compression Conference},
  year={1997},
  pages={91-100}
}
We study high-fidelity image compression with a given tight bound on the maximum error magnitude. We propose some practical adaptive context modeling techniques to correct prediction biases caused by quantizing prediction residues, a problem common to the current DPCM like predictive nearly-lossless image coders. By incorporating the proposed techniques into the nearly-lossless version of CALIC, we were able to increase its PSNR by 1 dB or more and/or reduce its bit rate by ten per cent or more… CONTINUE READING

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