• DocumentCode
    2722106
  • Title

    Multiresolution approximation of fractal transforms and its applications

  • Author

    Cheng, Bing ; Zhu, Xiaokun ; Titterington, D.M.

  • Author_Institution
    Inst. of Math. & Stat., Kent Univ., Canterbury, UK
  • fYear
    1995
  • fDate
    34717
  • Firstpage
    42522
  • Lastpage
    42524
  • Abstract
    To generate a fractal by using an iterated function system (IFS) (Barnsley, 1988) is a very efficient and economic way. This led Barnsley to suggest the use of IFSs for data compression. However, the attractor of an IFS is self-affine but real data are not always self-affine. The real break-through for this problem was made in 1988 by Barnsley (Barnsley and Hurd, 1993) who generalized IFS to local IFS which resulted in so-called fractal transform (FT) for the iteration of functions. The coding of real data by fractal transform has generally achieved high-compression ratio with high-fidelity to the data
  • Keywords
    data compression; encoding; fractals; transforms; data compression; fractal transforms; iterated function system; multiresolution approximation;
  • fLanguage
    English
  • Publisher
    iet
  • Conference_Titel
    Fractals in Signal and Image Processing, IEE Colloquium on
  • Conference_Location
    London
  • Type

    conf

  • DOI
    10.1049/ic:19950021
  • Filename
    478249