• DocumentCode
    531864
  • Title

    An improved image denoising algorithm based on wavelet transform Modulus Maximum

  • Author

    Guo Chao-feng ; Li Mei-lian

  • Author_Institution
    Coll. of Comput. Sci. & Technol., Xuchang Univ., Xuchang, China
  • Volume
    7
  • fYear
    2010
  • fDate
    22-24 Oct. 2010
  • Abstract
    This paper proposes an improved image denoising algorithm, which uses a piecewise cubic spline interpolation algorithm to reconstruct wavelet coefficients after denoising based on Modulus Maximum Principle first, and then recompose the image using the mallat algorithm. Experiments show that the approximate wavelet coefficients of the original image are offered through this algorithm, and denoising is obvious.
  • Keywords
    image denoising; splines (mathematics); wavelet transforms; image denoising algorithm improvement; mallat algorithm; modulus maximum principle; piecewise cubic spline interpolation algorithm; wavelet coefficients; wavelet transform modulus maximum; Computers; Signal to noise ratio; Wavelet analysis; cubic spline interpolation algorithm; image de-noising; modulus maxima; wavelet coefficients reconstruction;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computer Application and System Modeling (ICCASM), 2010 International Conference on
  • Conference_Location
    Taiyuan
  • Print_ISBN
    978-1-4244-7235-2
  • Electronic_ISBN
    978-1-4244-7237-6
  • Type

    conf

  • DOI
    10.1109/ICCASM.2010.5619055
  • Filename
    5619055