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
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,
-level, signal that ends with constant regions of length
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
that converge to a root in exactly
passes of a median filter. Also, we show that, given a window of width
, any signal of length
will converge to a root in at most
passes of the filter.
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,
-level, signal that ends with constant regions of length
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
that converge to a root in exactly
passes of a median filter. Also, we show that, given a window of width
, any signal of length
will converge to a root in at most
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
Link To Document