• DocumentCode
    2235788
  • Title

    Anisotropic wavelet thresholding for Bayesian image denoising

  • Author

    Jacovitti, Giovanni ; Neri, Alessandro

  • Author_Institution
    INFOCOM Dept., Univ. of Rome La Sapienza, Rome, Italy
  • fYear
    2002
  • fDate
    3-6 Sept. 2002
  • Firstpage
    1
  • Lastpage
    4
  • Abstract
    A new technique for noise suppression in images by wavelet thresholding is presented. The technique focuses on perceptual relevant features, using a multiscale edge oriented wavelet representation. A orientation-dependent zero-memory non-linear soft thresholding rule is defined in the framework of Bayesian MMSE estimation.
  • Keywords
    Bayes methods; image denoising; image segmentation; least mean squares methods; wavelet transforms; Bayesian image denoising; MMSE estimation; anisotropic wavelet thresholding; multiscale edge oriented wavelet representation; noise suppression; orientation-dependent zero-memory nonlinear soft thresholding; perceptual relevant features; Cleaning; Image coding; Image edge detection; Image resolution; Noise; Noise reduction; Bayesian estimation; Denoising; shrinking; wavelet thresholding;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Signal Processing Conference, 2002 11th European
  • Conference_Location
    Toulouse
  • ISSN
    2219-5491
  • Type

    conf

  • Filename
    7072081
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=2235788