• DocumentCode
    950040
  • Title

    A new impulse detector for switching median filters

  • Author

    Zhang, Shuqun ; Karim, Mohammad A.

  • Author_Institution
    Dept. of Electr. & Comput. Eng., State Univ. of New York, Binghamton, NY, USA
  • Volume
    9
  • Issue
    11
  • fYear
    2002
  • Firstpage
    360
  • Lastpage
    363
  • Abstract
    A new impulse noise detection technique for switching median filters is presented, which is based on the minimum absolute value of four convolutions obtained using one-dimensional Laplacian operators. Extensive simulations show that the proposed filter provides better performance than many of the existing switching median filters with comparable computational complexity. In particular, the proposed filter is directed toward improved line preservation.
  • Keywords
    computational complexity; convolution; filtering theory; image restoration; impulse noise; median filters; computational complexity; convolution; image details preservation; impulse detector; impulse noise detection; line preservation; one-dimensional Laplacian operators; switching median filters; Computational complexity; Computational modeling; Detectors; Filters; Image edge detection; Kernel; Laplace equations; Object detection; Pixel; Samarium;
  • fLanguage
    English
  • Journal_Title
    Signal Processing Letters, IEEE
  • Publisher
    ieee
  • ISSN
    1070-9908
  • Type

    jour

  • DOI
    10.1109/LSP.2002.805310
  • Filename
    1058205