Title :
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
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;
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
DOI :
10.1109/ISCAS.1998.703991
