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
Published in:
Circuits and Systems, 1998. ISCAS '98. Proceedings of the 1998 IEEE International Symposium on
(Volume:3
)
Date of Conference: 31 May-3 Jun 1998