• DocumentCode
    2684047
  • Title

    Efficient Wavelet Lifting Scheme Based on Filter Optimization and Median Operator

  • Author

    Quan, Do ; Ho, Yo-Sung

  • Author_Institution
    Dept. of Inf. & Commun., Gwangju Inst. of Sci. & Technol. (GIST), Gwangju, South Korea
  • fYear
    2009
  • fDate
    13-17 July 2009
  • Firstpage
    1
  • Lastpage
    6
  • Abstract
    In JPEG2000, the Cohen-Daubechies-Feauveau (CDF) 9/7-tap wavelet filter is implemented for lossy compression by a wavelet lifting scheme. However, the filter coefficients are remaining complex because they are irrational numbers. In addition, the conventional wavelet lifting scheme does not consider image edges. In this paper, we propose an efficient wavelet lifting scheme based on filter optimization and median operation and address these problems. For this purpose, we design optimal 9/7-tap wavelet filters by selecting appropriate filter coefficients. We also employ a median operator to consider image edges. Our proposed method, which is a combination of filter optimization and median lifting, improves the peak signal- to-noise ratio (PSNR) value up to 0.75 dB, compared to the well- known CDF 9/7-tap wavelet filter of JPEG2000.
  • Keywords
    data compression; image coding; median filters; wavelet transforms; Cohen-Daubechies-Feauveau wavelet filter; JPEG2000; filter optimization; image edges; lossy compression; median operator; signal- to-noise ratio; wavelet lifting scheme; Electronic mail; Image coding; Information filtering; Information filters; Low pass filters; Numerical analysis; PSNR; Transform coding; Wavelet analysis; Wavelet transforms;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computing and Communication Technologies, 2009. RIVF '09. International Conference on
  • Conference_Location
    Da Nang
  • Print_ISBN
    978-1-4244-4566-0
  • Electronic_ISBN
    978-1-4244-4568-4
  • Type

    conf

  • DOI
    10.1109/RIVF.2009.5174636
  • Filename
    5174636