Title :
State description for the root-signal set of median filters
Author :
Arce, Gonzalo R. ; Gallagher, Neal C., Jr.
Author_Institution :
Purdue University, West Lafayette, IN
fDate :
12/1/1982 12:00:00 AM
Abstract :
Median filtering is a simple digital technique for smoothing signals. One main characteristic of the filter is that it maps the input signal space into a root signal space, where signals invariant to median filters are called roots of the signal. In this paper, we develop the theory for the root signal set of median filters. A tree structure for the root signal set is obtained for binary signals. The number of roots R (n) for a signal of length "n" and window size filter "2s- 1" is exactly represented by the difference equation R(n) = R(n - 1) + R(n - s). A general solution is obtained in a Z domain approach. Finally, a method for faster one dimensional median filter operation is introduced.
Keywords :
Digital filters; Filtering; Frequency; Humans; Image processing; Nonlinear filters; Signal mapping; Signal processing; Speech processing; Sufficient conditions;
Journal_Title :
Acoustics, Speech and Signal Processing, IEEE Transactions on
DOI :
10.1109/TASSP.1982.1163980