• DocumentCode
    1194488
  • Title

    Some convergence properties of median filters

  • Author

    Wendt, Peter D. ; Coyle, Edward J. ; Gallagher, Neal C., Jr.

  • Volume
    33
  • Issue
    3
  • fYear
    1986
  • fDate
    3/1/1986 12:00:00 AM
  • Firstpage
    276
  • Lastpage
    286
  • Abstract
    A median filter is a nonlinear digital filter which consists of a window of length 2N + 1 that moves over a signal of finite length. For each input sample, the corresponding output point is the median of all samples in the window centered on that input sample. Any finite length, M -level, signal that ends with constant regions of length N + 1 will converge to an invariant signal in a finite number of passes of this median filter. Such an invariant signal is called a root. The concept of a root signal has proved to be crucial in understanding the properties of the median filter, root signals are to median filters what passband signals are to linear signals. In this paper, two results concerning the rate at which a signal is filtered to a root are developed. For a window of width 3, we derive a recursive formula to count the number of binary signals of length L that converge to a root in exactly m passes of a median filter. Also, we show that, given a window of width 2N + 1 , any signal of length L will converge to a root in at most 3\\lceil frac{(L-2)}{2(N + 2)}\\rceil passes of the filter.
  • Keywords
    DSP; Digital signal processing (DSP); Image processing; Multidimensional digital filters; Additive noise; Convergence; Copper; Digital filters; Gaussian noise; Laser noise; Layout; Nonlinear filters; Signal processing; Speckle;
  • fLanguage
    English
  • Journal_Title
    Circuits and Systems, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0098-4094
  • Type

    jour

  • DOI
    10.1109/TCS.1986.1085911
  • Filename
    1085911