• DocumentCode
    2032737
  • Title

    A fractal-based image block-coding algorithm

  • Author

    Gharavi-Alkhansari, Mohammad ; Huang, Thomas S.

  • Author_Institution
    Beckman Inst. for Adv. Sci. & Technol., Illinois Univ., Urbana, IL, USA
  • Volume
    5
  • fYear
    1993
  • fDate
    27-30 April 1993
  • Firstpage
    345
  • Abstract
    A novel block-coding algorithm for grey-scale images based on a fractal approximation is presented. Image blocks are approximated by a linear combination of a set of almost orthogonal basis blocks made up of a set of simple image-independent blocks and a set of image-dependent blocks generated from transformed blocks of bigger size in the same image. To find the approximation for each block, the block is projected onto the space spanned by the set of basis blocks. For each block, the biggest coefficients plus the index of the corresponding basis blocks and the number of basis blocks used make the code. The number of basis vectors used for coding each block is the number of basis blocks needed to approximate the block within a given error limit. The results of a study of the effect of variations on Jacquin´s fractal-based image coding algorithm are also presented.<>
  • Keywords
    block codes; fractals; image coding; basis vectors; block-coding algorithm; error limit; fractal approximation; grey-scale images; image-dependent blocks; image-independent blocks;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Acoustics, Speech, and Signal Processing, 1993. ICASSP-93., 1993 IEEE International Conference on
  • Conference_Location
    Minneapolis, MN, USA
  • ISSN
    1520-6149
  • Print_ISBN
    0-7803-7402-9
  • Type

    conf

  • DOI
    10.1109/ICASSP.1993.319818
  • Filename
    319818