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