DocumentCode :
2887262
Title :
Recursive M-type filter for image processing
Author :
Cheng Cunxue ; Deren, GU
Author_Institution :
Univ. of Electron. Sci. & Technol. of China, Chengdu Sichuan, China
fYear :
1991
fDate :
16-17 Jun 1991
Firstpage :
816
Abstract :
Proposes a class of nonlinear filters-M-type filters, which are based on the M-estimates of location parameters in statistical theory. Moving-window M-filters can be defined starting from M-estimates of location. Then, several modified structures are given. It is shown that recursive M-type filter can perform better than nonrecursive M-type filter, running mean and median filter in white noise suppression, while it can be designed to be comparable to the median filter in edge preservation in the presence of noise. (To suppress impulse noise, the proposed filter generates output with a modified reference output: to reduce calculation complexity, M-type filter with linear FIR substructure is introduced.) Finally, experimental results for one- and two-dimensional signals are presented
Keywords :
digital filters; filtering and prediction theory; picture processing; white noise; M-estimates; calculation complexity; edge preservation; image processing; impulse noise; linear FIR substructure; location parameters; modified reference output; moving window; noise; nonlinear filters-M-type filters; one-dimensional signals; recursive filters; statistical theory; two-dimensional signals; white noise suppression; Additive noise; Ear; Filtering theory; Finite impulse response filter; Image processing; Image restoration; Noise reduction; Noise robustness; Nonlinear filters; Signal restoration;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Circuits and Systems, 1991. Conference Proceedings, China., 1991 International Conference on
Conference_Location :
Shenzhen
Type :
conf
DOI :
10.1109/CICCAS.1991.184486
Filename :
184486
Link To Document :
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