• DocumentCode
    1719928
  • Title

    An improved fractal coding procedure for greyscale images

  • Author

    Moat, Trevor P B M

  • Author_Institution
    Dept. of Syst. & Comput. Eng., Carleton Univ., Ottawa, Ont., Canada
  • Volume
    1
  • fYear
    1995
  • Firstpage
    567
  • Abstract
    A refined version of the fractal image coding procedure of Barnsley (1993) and Jacquin (see IEEE Trans. on Image Proc. vol.1, no.1, 1992) is presented. The new technique requires approximately one-third the encoding time of the previous method, thereby addressing a major obstacle to the widespread use of fractal-based algorithms. Search pools under the new scheme are segregated according to contrast distribution (not simply the degree of contrast) within each block, reducing the size of search areas, and hence the number of least-squares calculations required. A further refinement combining the benefits of searching-by-contrast with searching-by-distribution is introduced
  • Keywords
    fractals; image coding; least squares approximations; search problems; contrast distribution; encoding time; fractal based algorithms; fractal image coding; greyscale images; least squares calculations; search area size reduction; search pools; searching by contrast; searching by distribution; Distortion measurement; Encoding; Equations; Fractals; Gaskets; Geometry; Image coding; Image reconstruction; Shape; Systems engineering and theory;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Electrical and Computer Engineering, 1995. Canadian Conference on
  • Conference_Location
    Montreal, Que.
  • ISSN
    0840-7789
  • Print_ISBN
    0-7803-2766-7
  • Type

    conf

  • DOI
    10.1109/CCECE.1995.528200
  • Filename
    528200