• DocumentCode
    3265777
  • Title

    Lapped orthogonal vector quantization

  • Author

    Malvar, Henrique S. ; Sullivan, Gary J. ; Wornell, Gregory W.

  • Author_Institution
    PictureTel Corp., Danvers, MA, USA
  • fYear
    1996
  • fDate
    Mar/Apr 1996
  • Firstpage
    320
  • Lastpage
    329
  • Abstract
    The blocking artifacts that arise in the use of traditional vector quantization (VQ) schemes can, in general, be virtually eliminated via an efficient lapped VQ strategy. With lapped VQ, blocks are obtained from the source in an overlapped manner, and reconstructed via superposition of overlapped codevectors. The new scheme, which we term lapped orthogonal vector quantization (LOVQ), requires no increase in bit rate and, in contrast to other proposed approaches, no significant increase in computational complexity or memory requirements. Attractively, the use of LOVQ also leads to a modest increase in coding gain over traditional VQ schemes of comparable complexity
  • Keywords
    computational complexity; image coding; transform coding; vector quantisation; bit rate; blocking artifacts; coding gain; computational complexity; efficient lapped VQ strategy; lapped orthogonal vector quantization; memory requirements; overlapped codevectors; reconstruction; superposition; Bit rate; Computational complexity; Data compression; Decoding; Image reconstruction; Laboratories; Rate-distortion; Speech; Table lookup; Vector quantization;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Data Compression Conference, 1996. DCC '96. Proceedings
  • Conference_Location
    Snowbird, UT
  • ISSN
    1068-0314
  • Print_ISBN
    0-8186-7358-3
  • Type

    conf

  • DOI
    10.1109/DCC.1996.488337
  • Filename
    488337