• DocumentCode
    1575614
  • Title

    A wavelet-domain algorithm for denoising in the presence of noise outliers

  • Author

    Zervakis, Michael E. ; Sundararajan, Vijay ; Parhi, Keshab K.

  • Author_Institution
    Tech. Univ. of Crete, Chania, Greece
  • Volume
    1
  • fYear
    1997
  • Firstpage
    632
  • Abstract
    A wavelet domain robust denoising algorithm is presented, which efficiently removes both Gaussian as well as Gaussian mixed with impulse noise. Several wavelet domain operators are developed which help in the denoising process. The superiority of the new algorithm is firmly established by simulation over a variety of images
  • Keywords
    Gaussian noise; image restoration; wavelet transforms; Gaussian noise; denoising; image processing; image restoration; impulse noise; noise outliers; simulation; wavelet domain operators; wavelet-domain algorithm; Gaussian noise; Information filtering; Information filters; Matrix decomposition; Noise reduction; Noise robustness; Signal processing; Wavelet coefficients; Wavelet domain; Wavelet transforms;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Image Processing, 1997. Proceedings., International Conference on
  • Conference_Location
    Santa Barbara, CA
  • Print_ISBN
    0-8186-8183-7
  • Type

    conf

  • DOI
    10.1109/ICIP.1997.647992
  • Filename
    647992