• DocumentCode
    3073539
  • Title

    A comparison of image filtering algorithms

  • Author

    Dravida, S. ; Woods, J.U. ; Shen, U.C.

  • Author_Institution
    Rensselaer Polytechnic Institute, Troy, New York, USA
  • Volume
    9
  • fYear
    1984
  • fDate
    30742
  • Firstpage
    259
  • Lastpage
    262
  • Abstract
    This paper compares four image filtering algorithms on common data sets for various signal to noise ratios and white Gaussian noise. The algorithms are the median filter, the Wallis filter, the reduced update Kalman filter, and a multiple model, decision-directed filter. This comparison produces some surprising results from both a subjective (visual error) and a mean square error (MSE) viewpoint.
  • Keywords
    Data engineering; Filtering algorithms; Gaussian noise; Image processing; Maximum likelihood detection; Mean square error methods; Nonlinear filters; Signal to noise ratio; Statistics; Systems engineering and theory;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Acoustics, Speech, and Signal Processing, IEEE International Conference on ICASSP '84.
  • Type

    conf

  • DOI
    10.1109/ICASSP.1984.1172540
  • Filename
    1172540
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=3073539