• DocumentCode
    2721788
  • Title

    Speeding up fractal image compression

  • Author

    Bani-Eqbal, Behnam

  • Author_Institution
    Dept. of Comput. Sci., Manchester Univ., UK
  • fYear
    1995
  • fDate
    34717
  • Firstpage
    42401
  • Lastpage
    42403
  • Abstract
    Fractal coding offers many promising qualities, such as high compression ratio, good image quality, and resolution independence of the decoded image. However the encoding process suffers from the long search time of the domain block pool. Much research has been done to speed it. The fractal theory, and many speed-up techniques, such as block classification, code-book clustering, etc. are discussed in the recent book by Y. Fisher (1995). We present a different scheme to speed up the search. We devise an incremental procedure which limits the domain block pixels, given a range block and an upper bound on their distance. We arrange the domain blocks in a tree, and navigate it to select a small number of candidate blocks. Experiments show that the encoding process speeds up by up-to 50 times. Our procedure works in conjunction with other methods, such as block classification
  • Keywords
    data compression; fractals; image processing; block classification; candidate blocks; domain block pixels; domain blocks; encoding process; fractal coding; fractal image compression; fractal theory;
  • fLanguage
    English
  • Publisher
    iet
  • Conference_Titel
    Fractals in Signal and Image Processing, IEE Colloquium on
  • Conference_Location
    London
  • Type

    conf

  • DOI
    10.1049/ic:19950017
  • Filename
    478245