• DocumentCode
    1188401
  • Title

    Hierarchical finite-state vector quantization for image coding

  • Author

    Yu, Ping ; Venetsanopoulos, Anastasios N.

  • Author_Institution
    Dept. of Electr. Eng., Toronto Univ., Ont., Canada
  • Volume
    42
  • Issue
    11
  • fYear
    1994
  • fDate
    11/1/1994 12:00:00 AM
  • Firstpage
    3020
  • Lastpage
    3026
  • Abstract
    The hierarchical finite-state vector quantization (HFSVQ) introduced in the paper is an improvement of the finite state vector quantization combined with hierarchical multirate image coding. Based on an understanding of the perception of human eye and the structural features of images, the HFSVQ technique employs different coding rates and different numbers of the predictive states for representative vector selection. The bit rate used to encode images is very low while the reconstructed images can still achieve a satisfactory perceptual quality
  • Keywords
    block codes; finite state machines; image coding; image reconstruction; vector quantisation; HFSVQ; bit rate; coding rates; hierarchical finite-state vector quantization; image coding; perceptual quality; predictive states; reconstructed images; representative vector selection; Bit rate; Communications Society; Focusing; Gray-scale; Humans; Image coding; Image processing; Image reconstruction; Pixel; Vector quantization;
  • fLanguage
    English
  • Journal_Title
    Communications, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0090-6778
  • Type

    jour

  • DOI
    10.1109/26.328983
  • Filename
    328983