• DocumentCode
    1226972
  • Title

    The rational filter for image smoothing

  • Author

    Ramponi, Giovanni

  • Author_Institution
    Dipartimento di Elettrotecnica Elettronica ed Inf., Trieste Univ., Italy
  • Volume
    3
  • Issue
    3
  • fYear
    1996
  • fDate
    3/1/1996 12:00:00 AM
  • Firstpage
    63
  • Lastpage
    65
  • Abstract
    A nonlinear operator is presented that is able to effectively attenuate the noise that corrupts an image while introducing small distortions on the image details. It is described by a rational function, i.e., by the ratio of two polynomials in the input variables. Notwithstanding its simplicity, this operator proves to be more powerful than conventional methods for many noise distributions.
  • Keywords
    image processing; noise; polynomials; smoothing methods; image distortions; image smoothing; input variables; noise attenuation; noise corrupted image; noise distributions; nonlinear operator; polynomials; ratio; rational filter; rational function; Cutoff frequency; Digital signal processing; Filtering; Image processing; Input variables; Nonlinear distortion; Nonlinear filters; Polynomials; Smoothing methods; Statistical distributions;
  • fLanguage
    English
  • Journal_Title
    Signal Processing Letters, IEEE
  • Publisher
    ieee
  • ISSN
    1070-9908
  • Type

    jour

  • DOI
    10.1109/97.481156
  • Filename
    481156