• DocumentCode
    1102768
  • Title

    Alpha-trimmed means and their relationship to median filters

  • Author

    Bednar, J. Bee ; Watt, Terry L.

  • Author_Institution
    Cities Service Company, Tulsa, OK
  • Volume
    32
  • Issue
    1
  • fYear
    1984
  • fDate
    2/1/1984 12:00:00 AM
  • Firstpage
    145
  • Lastpage
    153
  • Abstract
    Suppose that X is a finite set of N numbers, The α-trimmed mean of X is obtained by sorting X into ascending order, removing (trimming) a fixed fraction \\alpha (0 \\leq \\alpha \\leq 0.5) from the high and low ends of the sorted set, and computing the average of the remaining values. When applied to a sliding window of length LW, the α-trimming process is called α-trim filtering. For α = 0.5, the α-trimmed mean of a set is the median of the set and the filtering operation is called median filtering. Repeated application of a median filter to the output of a previous median filter of the same length LW eventually produces a signal which is invariant to median filtering. This final signal is called the root signal. This paper explains the relationship between α-trimmed means and median filters, derives a simple straightforward and fast algorithm for applying a median filter, and provides a new explanation of the convergence of repeated median filtering to the root signal. The latter result incorporates an approach which permits generalization of the associated concepts to a larger class of "index map" filters.
  • Keywords
    Convergence; Data analysis; Energy resources; Filtering algorithms; Image processing; Noise robustness; Nonlinear filters; Sorting; Speech analysis; Speech processing;
  • fLanguage
    English
  • Journal_Title
    Acoustics, Speech and Signal Processing, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0096-3518
  • Type

    jour

  • DOI
    10.1109/TASSP.1984.1164279
  • Filename
    1164279