A new edge-preserving smoothing filter based on fuzzy control laws and local features

Author

Muneyasu, Mitsuji ; Wada, Yuji ; Hinamoto, Takao

Author_Institution

Fac. of Eng., Hiroshima Univ., Japan

Volume

3

fYear

1998

Firstpage

239

Abstract

This paper proposes a new type of edge-preserving smoothing filter to be applied to an image corrupted by impulsive and white Gaussian noise. This filter is based on a weighted mean filter having two kinds of coefficient for impulsive and white Gaussian noise. These coefficients can be varied adaptively by local features in the window. Fuzzy control laws that can be used for the implementation of the proposed filter are described. To reduce the computational burden, the fuzzy inference model proposed by Ichihashi et al. (1990) is employed

Keywords

Gaussian noise; adaptive filters; fuzzy control; fuzzy logic; image restoration; median filters; smoothing methods; white noise; adaptive filter; computational burden; edge-preserving smoothing filter; fuzzy control laws; fuzzy inference model; fuzzy reasoning; image restoration; impulsive noise; local features; nonlinear filters; weighted mean filter; white Gaussian noise; Adaptive filters; Computer vision; Degradation; Fuzzy control; Gaussian noise; Image restoration; Noise measurement; Noise reduction; Smoothing methods; White noise;

fLanguage

English

Publisher

ieee

Conference_Titel

Circuits and Systems, 1998. ISCAS '98. Proceedings of the 1998 IEEE International Symposium on

Conference_Location

Monterey, CA

Print_ISBN

0-7803-4455-3

Type

conf

DOI

10.1109/ISCAS.1998.703991

Filename

703991