DocumentCode :
1217278
Title :
Convergence properties of median and weighted median filters
Author :
Zeng, Bing
Author_Institution :
Dept. of Electr. & Electron. Eng., Hong Kong Univ. of Sci. & Technol., Kowloon, Hong Kong
Volume :
42
Issue :
12
fYear :
1994
fDate :
12/1/1994 12:00:00 AM
Firstpage :
3515
Lastpage :
3518
Abstract :
It has been shown that assuming the first and last value carry-on appending strategy, a finite number of passes of the same median filter to an arbitrary signal of finite length results in a root signal that will be invariant to additional filtering passes. This so-called convergence property is reproven using an extremely simple approach. In addition, the well-known idempotent property (i.e., where convergence is achieved with only one filtering pass) of a recursive median filter is reproven similarly, and the convergence behavior of weighted median filters is studied
Keywords :
convergence of numerical methods; filtering theory; median filters; recursive filters; convergence properties; convergence property; finite length signal; idempotent property; median filters; recursive median filter; root signal; weighted median filters; Associative memory; Convergence; Filtering; Filters; Image processing; Neural networks; Signal processing; Upper bound;
fLanguage :
English
Journal_Title :
Signal Processing, IEEE Transactions on
Publisher :
ieee
ISSN :
1053-587X
Type :
jour
DOI :
10.1109/78.340786
Filename :
340786
Link To Document :
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