• DocumentCode
    1450918
  • Title

    An efficient bath fractal transform-based image coding technique

  • Author

    Kumar, Sunil ; Rao, K. Nageshwar ; Mishra, R.R. ; Jain, R.C.

  • Author_Institution
    Signal & Image Process. Inst., Univ. of Southern California, Los Angeles, CA, USA
  • Volume
    44
  • Issue
    4
  • fYear
    1998
  • fDate
    11/1/1998 12:00:00 AM
  • Firstpage
    1298
  • Lastpage
    1308
  • Abstract
    A computationally efficient image compression technique is presented, which is based on visual patterns as well as least squares fractal approximation by a self-affine system (SAS). Simulation studies demonstrate that the use of visual pattern-based technique can code the shade (flat) regions of an image more efficiently than fractal techniques. Furthermore, the proposed technique not only gives an encoding speed several times faster than other SAS-based fractal coding techniques but also achieves higher compression ratios and better fidelity
  • Keywords
    data compression; fractals; image coding; image reconstruction; least squares approximations; transform coding; compression ratios; efficient bath fractal transform; encoding speed; flat regions; fractal coding; image coding; least squares fractal approximation; reconstructed image quality; self affine system; shade regions; simulation; visual patterns; Computational modeling; Fractals; Image coding; Image processing; Least squares approximation; Signal processing; Synthetic aperture sonar; Tiles; Video compression; Videoconference;
  • fLanguage
    English
  • Journal_Title
    Consumer Electronics, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0098-3063
  • Type

    jour

  • DOI
    10.1109/30.735830
  • Filename
    735830