• DocumentCode
    3520436
  • Title

    Image coding by using eventually contractive discrete fractal transformations

  • Author

    De Oliveira, Jose F L ; Mendonca, Gelson V. ; Dias, Roosevelt J.

  • Author_Institution
    Univ. Fed. de Rio de Janeiro, Brazil
  • Volume
    2
  • fYear
    1998
  • fDate
    9-13 Aug 1998
  • Firstpage
    582
  • Abstract
    In the last few years, the discrete fractal transformation has been applied to image coding in order to obtain high compression rates. The coding scheme works by dividing an image into range blocks that are approximated, through a contractive fractal transformation, by low-pass-filtered versions of the domain blocks selected in the image itself. It is reported in Fisher (1994) that using eventually contractive fractal transformations one can improve the compressed image quality. However, no explanation is given to justify this fact. We address this issue by relating this improvement, which can reach 1 dB (PSNR), to the filtering process of the domain blocks
  • Keywords
    approximation theory; data compression; discrete transforms; filtering theory; fractals; image coding; low-pass filters; approximation; compression rates; contractive fractal transformation; discrete fractal transformation; domain blocks; image coding; image quality; image range blocks; low-pass filter; Compression algorithms; Convergence; Decoding; Digital images; Extraterrestrial measurements; Filtering; Fractals; Image coding; PSNR; Shape;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Telecommunications Symposium, 1998. ITS '98 Proceedings. SBT/IEEE International
  • Conference_Location
    Sao Paulo
  • Print_ISBN
    0-7803-5030-8
  • Type

    conf

  • DOI
    10.1109/ITS.1998.718460
  • Filename
    718460