Entropy-constrained gradient-match vector quantization for image coding

@inproceedings{Juan1998EntropyconstrainedGV,
  title={Entropy-constrained gradient-match vector quantization for image coding},
  author={Shin-Chou Juan and Chen-Yi Lee},
  booktitle={ICASSP},
  year={1998}
}
Side-match VQ(SMVQ) is a well-known class of FSVQ used for low-bit rate image/video coding. It exploits the spatial correlation between the neighboring blocks to select several codewords that are very close to the encoding block from the master codebook. But if the block boundary is in the region edge arca. the spatial correlations are not high and the SMVQ can’t sclcct proper codewords to encode blocks. In this paper. an Entropy.-Constrained Gradient-Match VQ (ECGMVQ) is proposed. Instead of… CONTINUE READING

From This Paper

Figures, tables, and topics from this paper.
1 Citations
2 References
Similar Papers

Citations

Publications citing this paper.

References

Publications referenced by this paper.
Showing 1-2 of 2 references

An algorithm for Vccror (?uantizer design.

  • Y. Linde, A. Buzo, R. M. Gray
  • fEE:E Trans. (‘otn.. vol. C’OM-2X. pp
  • 1980

An new image Coding Alporithm Using variable - rate side - match finite - state vector quantization

  • T. Lookabaugh Chou, R. M. Gray
  • IEEE Trans . Image Processing

Similar Papers

Loading similar papers…