• DocumentCode
    1739604
  • Title

    New fast search algorithm for image vector quantization

  • Author

    Lee, Anson M Y ; Feng, J. ; Lo, K.T. ; Tang, Japen H T

  • Author_Institution
    Dept. of Electron. Eng., City Univ. of Hong Kong, China
  • Volume
    2
  • fYear
    2000
  • fDate
    2000
  • Firstpage
    1069
  • Abstract
    In this paper, a new fast encoding algorithm based on the concept of finite-state VQ has been proposed for image vector quantization. In the proposed scheme, each input block will only search a portion of the codebook to locate the best match vector according to the state of the neighboring blocks. A block transition criterion is developed for selecting a subset of the codebook for searching. Simulation results show that the encoding time required by the proposed algorithm is just about 10-20% of that required by the full search with almost the same output image quality
  • Keywords
    image coding; search problems; vector quantisation; FSVQ; best match vector location; block transition criterion; codebook; fast encoding algorithm; fast search algorithm; finite-state VQ; image vector quantization; simulation results; Bit rate; Code standards; Decoding; Encoding; Image coding; Image quality; Image reconstruction; Smoothing methods; Testing; Vector quantization;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Signal Processing Proceedings, 2000. WCCC-ICSP 2000. 5th International Conference on
  • Conference_Location
    Beijing
  • Print_ISBN
    0-7803-5747-7
  • Type

    conf

  • DOI
    10.1109/ICOSP.2000.891718
  • Filename
    891718