• DocumentCode
    1354522
  • Title

    A new image coding algorithm using variable-rate side-match finite-state vector quantization

  • Author

    Tung-Shou Chen ; Chin-Chen Chang

  • Author_Institution
    Dept. of Inf. Manage., Nat. Chin-Yi Inst. of Technol., Taichung
  • Volume
    6
  • Issue
    8
  • fYear
    1997
  • fDate
    8/1/1997 12:00:00 AM
  • Firstpage
    1185
  • Lastpage
    1187
  • Abstract
    A new side-match vector quantizer, NewSMVQ, is presented in this paper. Three techniques are incorporated to improve the image quality, encoding speed, and bit rate for compressing images. The experimental result shows: i) the encoding time of NewSMVQ is almost 7 times faster than that of SMVQ (ordinary fixed-rate side-match vector quantizer) and CSMVQ (variable-rate SMVQ) and ii) NewSMVQ outperforms SMVQ and CSMVQ in terms of bit rate versus image quality tradeoffs
  • Keywords
    finite automata; image coding; vector quantisation; CSMVQ; NewSMVQ; SMVQ; bit rate; encoding speed; encoding time; image coding algorithm; image compression; image quality; ordinary fixed-rate side-match vector quantizer; variable-rate side-match finite-state vector quantization; Bit rate; Decoding; Distortion measurement; Euclidean distance; Image coding; Image quality; Image storage; Information management; Principal component analysis; Vector quantization;
  • fLanguage
    English
  • Journal_Title
    Image Processing, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    1057-7149
  • Type

    jour

  • DOI
    10.1109/83.605415
  • Filename
    605415