• DocumentCode
    3060683
  • Title

    Combining pyramidal and fractal image coding

  • Author

    Kropatsch, Walter G. ; Neuhauser, Michael A. ; Leitgeb, Irene J. ; Bischof, Horst

  • Author_Institution
    Dept. for Pattern Recognition & Image Process., Inst. for Autom., Tech. Univ., Vienna, Austria
  • fYear
    1992
  • fDate
    30 Aug-3 Sep 1992
  • Firstpage
    61
  • Lastpage
    64
  • Abstract
    Compared with the richness in detail of images generated by iterated function systems, the memory requirement of them is very low. Displaying these images is very time consuming, and currently there is no method published to derive an iterated function system directly from a given image. This is known as the inverse problem. The authors introduce discrete transformations and direct computation of a discrete attractor with deterministic noniterative algorithms. This results in an essential saving of time. Furthermore they present a solution of the inverse problem in the one dimensional discrete space
  • Keywords
    fractals; image coding; image processing; inverse problems; iterative methods; 1D discrete space; deterministic noniterative algorithms; discrete attractor; discrete transformations; image processing; inverse problem; iterated function systems; pyramidal-fractal image coding; Automation; Extraterrestrial measurements; Fractals; Image coding; Image generation; Image processing; Image recognition; Inverse problems; Neural networks; Pattern recognition;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Pattern Recognition, 1992. Vol.III. Conference C: Image, Speech and Signal Analysis, Proceedings., 11th IAPR International Conference on
  • Conference_Location
    The Hague
  • Print_ISBN
    0-8186-2920-7
  • Type

    conf

  • DOI
    10.1109/ICPR.1992.201928
  • Filename
    201928