Entropy-constrained gradient-match vector quantization for image coding

  title={Entropy-constrained gradient-match vector quantization for image coding},
  author={Shin-Chou Juan and Chen-Yi Lee},
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

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