• DocumentCode
    775151
  • Title

    Predictive Vector Quantization of Images

  • Author

    Hang, Hsueh-Ming ; Woods, John W.

  • Author_Institution
    AT&T Bell Labs., Holmdel, NJ
  • Volume
    33
  • Issue
    11
  • fYear
    1985
  • fDate
    11/1/1985 12:00:00 AM
  • Firstpage
    1208
  • Lastpage
    1219
  • Abstract
    The purpose of this paper is to present new image coding schemes based on a predictive vector quantization (PVQ) approach. The predictive part of the encoder is used to partially remove redundancy, and the VQ part further removes the residual redundancy and selects good quantization levels for the global waveform. Two implementations of this coding approach have been devised, namely, sliding block PVQ and block tree PVQ. Simulations on real images show significant improvement over the conventional DPCM and tree codes using these new techniques. The strong robustness property of these coding schemes is also experimentally demonstrated.
  • Keywords
    Image coding; Quantization (signal); Signal quantization; Encoding; Filters; Image coding; Pixel; Predictive models; Rate distortion theory; Robustness; Statistics; Systems engineering and theory; Vector quantization;
  • fLanguage
    English
  • Journal_Title
    Communications, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0090-6778
  • Type

    jour

  • DOI
    10.1109/TCOM.1985.1096238
  • Filename
    1096238