• DocumentCode
    495320
  • Title

    Designing for Threshold Values of Flat/Non-flat Image Blocks for Fractal Image Coding

  • Author

    Xiaotong, Hu ; Dexue, Bi

  • Author_Institution
    Tianjin Univ. of Sci. & Technol., Tianjin, China
  • Volume
    6
  • fYear
    2009
  • fDate
    March 31 2009-April 2 2009
  • Firstpage
    275
  • Lastpage
    279
  • Abstract
    For fractal image coding, flat range blocks are reconstructed only by their mean pixel values, and non-flat range blocks are reconstructed by the best matching domain blocks that are most similar to the range blocks selected from non-flat domain blocks. So, the threshold values of standard deviation for flat/non-flat range blocks and for flat/non-flat domain blocks influence the quality of the reconstructed image. In this paper, we propose a design method for threshold values of flat/non-flat blocks to obtain a high quality reconstructed image. From the results of simulation experiments, the relationships between the threshold value of flat/non-flat range blocks and of flat/non-flat domain blocks which can produce a high quality reconstructed image is expressed by a proportionality relationship. The approximation error is consequently suppressed to within 0.15 dB. The effectiveness of the proposed method using these threshold values is shown below.
  • Keywords
    image coding; image reconstruction; approximation error; flat-nonflat image block; fractal image coding; image reconstruction quality; mean pixel values; standard deviation; Approximation error; Bismuth; Computer science; Design automation; Design engineering; Design methodology; Fractals; Image coding; Image reconstruction; Pixel; Flat/Non-flat image block; Fractal image coding; Scaling factor;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computer Science and Information Engineering, 2009 WRI World Congress on
  • Conference_Location
    Los Angeles, CA
  • Print_ISBN
    978-0-7695-3507-4
  • Type

    conf

  • DOI
    10.1109/CSIE.2009.600
  • Filename
    5170704