• DocumentCode
    1889386
  • Title

    A new fractal coder for SAR imagery with high frequency energy matching

  • Author

    Deyuan, Chen ; Enjie, Luan ; Guofang, Tu

  • Author_Institution
    Sch. of Inf. Sci. & Eng., Chinese Acad. of Sci., Beijing
  • fYear
    2008
  • fDate
    10-12 Nov. 2008
  • Firstpage
    680
  • Lastpage
    683
  • Abstract
    A new fractal image compression algorithm based on high frequency energy (HFE) partitioning and matched domain block searching is proposed for SAR imagery coding. The proposed coder uses a new criterion to partition image and a novel method to search the matched domain block for each range block to code the low frequency component of the transformed SAR image by wavelet. Peak signal-to-noise ratio (PSNR), encoding time and subjective visual assessment were used to evaluate the performance of the proposed coder. Simulation experiment results show that the proposed coder outperforms the traditional fractal coders.
  • Keywords
    fractals; image coding; performance evaluation; radar imaging; synthetic aperture radar; SAR imagery coding; encoding time; fractal coder; fractal image compression algorithm; high frequency energy matching; high frequency energy partitioning; matched domain block searching; partition image; peak signal-to-noise ratio; performance evaluation; visual assessment; Base stations; Fractals; Frequency; Image coding; Information science; PSNR; Partitioning algorithms; Power engineering and energy; Synthetic aperture radar; Wavelet domain; Synthetic aperture radar; fractal image compression; high frequency energy;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Communication Technology, 2008. ICCT 2008. 11th IEEE International Conference on
  • Conference_Location
    Hangzhou
  • Print_ISBN
    978-1-4244-2250-0
  • Electronic_ISBN
    978-1-4244-2251-7
  • Type

    conf

  • DOI
    10.1109/ICCT.2008.4716198
  • Filename
    4716198