• DocumentCode
    302655
  • Title

    Modified tree structure for transform vector quantization

  • Author

    Panusopone, K. ; Rao, K.R.

  • Author_Institution
    Dept. of Electr. Eng., Texas Univ., Arlington, TX, USA
  • Volume
    2
  • fYear
    1996
  • fDate
    12-15 May 1996
  • Firstpage
    676
  • Abstract
    In this paper, we present a modified image format which is appropriate for transform vector quantization. Based on tree structure, this format can adopt itself to the detail in image with small overhead. Compared to conventional quadtree structure, the proposed technique provides a simpler structure because of its constant output size. This benefit comes from the subsampling process of the normal tree structure. The unique characteristic of a new format combining with the strength of transform vector quantization improves coding gain of the proposed system. Simulation results in terms of objective criteria are also given to illustrate this improvement
  • Keywords
    image coding; image sampling; transform coding; trees (mathematics); vector quantisation; coding gain; digital images; modified image format; modified tree structure; objective criteria; subsampling process; transform vector quantization; Bit rate; Digital images; Image coding; Image sampling; Image segmentation; Pixel; Shape; Testing; Tree data structures; Vector quantization;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Circuits and Systems, 1996. ISCAS '96., Connecting the World., 1996 IEEE International Symposium on
  • Conference_Location
    Atlanta, GA
  • Print_ISBN
    0-7803-3073-0
  • Type

    conf

  • DOI
    10.1109/ISCAS.1996.541815
  • Filename
    541815