• DocumentCode
    2615363
  • Title

    A shape-adaptive transform for object-based coding

  • Author

    Donescu, Ioana ; Avaro, O. ; Roux, Christian

  • Author_Institution
    CNET, Issy-les-Moulineaux, France
  • Volume
    3
  • fYear
    1996
  • fDate
    16-19 Sep 1996
  • Firstpage
    347
  • Abstract
    The efficient representation of image texture on arbitrarily shaped regions of support is an important problem to be solved in region-based coding schemes. One solution for smooth signals is the use of a linear transform, in order to achieve decorrelation and energy concentration for the input signal. In this paper, a general formulation for a class of shape adaptive transforms, that includes some known shape-adaptive methods as particular cases, is proposed and discussed. Within this general formulation, a new shape-adaptive, rectangular transform-based algorithm is investigated. The performance evaluation includes both theoretical decorrelation and distortion vs. rate results
  • Keywords
    adaptive codes; image coding; image representation; image segmentation; image texture; rate distortion theory; transform coding; arbitrarily shaped regions of support; decorrelation; energy concentration; general formulation; image texture representation; linear transform; object-based coding; performance evaluation; rate distortion results; rectangular transform-based algorithm; region-based coding; shape-adaptive transform; smooth signals; Decorrelation; Discrete cosine transforms; Discrete transforms; Distortion measurement; Image coding; Image texture; Shape; Statistics; Telecommunications; Transform coding;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Image Processing, 1996. Proceedings., International Conference on
  • Conference_Location
    Lausanne
  • Print_ISBN
    0-7803-3259-8
  • Type

    conf

  • DOI
    10.1109/ICIP.1996.560502
  • Filename
    560502