An adaptive fuzzy image smoothing filter for Gaussian noise
H.S. Kam, S. N. Cheong, Wooi-Haw Tan · 2005
Abstract:- This paper presents a Gaussian noise filter that uses a sigmoid shaped membership function to model image information in the spatial domain. This function acts as a tunable smoothing intensification operator. With a proper choice of two sigmoid parameters ‘t ’ and ‘a’, the filter strength can be tuned for removal of Gaussian noise in intensity images. An image information measure, Total Compatibility is used to adaptively select these sigmoid parameters. A visible improvement in the smoothness of images is observed, and the output of filter is also compared with those of other standard smoothing methods. Key-words:- image, noise, parameter, fuzzy logic, Gaussian, filter 1