• DocumentCode
    2398473
  • Title

    Convergence of fractal encoded images

  • Author

    Kominek, John

  • Author_Institution
    Dept. of Comput. Sci., Waterloo Univ., Ont., Canada
  • fYear
    1995
  • fDate
    28-30 Mar 1995
  • Firstpage
    242
  • Lastpage
    251
  • Abstract
    Fractal image compression, despite its great potential, suffers from some flaws that may prevent its adaptation from becoming more widespread. One such problem is the difficulty of guaranteeing convergence, let alone a specific error tolerance. To help surmount this problem, we have introduced the terms compound, cycle, and partial contractivity concepts indispensable for understanding convergence of fractal images. Most important, they connect the behavior of individual pixels to the image as a whole, and relate such behavior to the component affine transforms
  • Keywords
    convergence of numerical methods; data compression; fractals; image coding; iterative methods; transforms; component affine transforms; compound contractivity; convergence; cycle contractivity; fractal encoded images; fractal image compression; iterated function system; partial contractivity; Computer science; Convergence; Digital images; Fractals; Guidelines; Image coding; Image converters; Jacobian matrices; Pixel; Root mean square;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Data Compression Conference, 1995. DCC '95. Proceedings
  • Conference_Location
    Snowbird, UT
  • ISSN
    1068-0314
  • Print_ISBN
    0-8186-7012-6
  • Type

    conf

  • DOI
    10.1109/DCC.1995.515514
  • Filename
    515514