An adaptive fuzzy image smoothing filter for Gaussian noise

Authors:
H. S. Kam;S. N. Cheong;W. H. Tan
Affiliations:
Faculty of Engineering, Multimedia University, Malaysia;Faculty of Engineering, Multimedia University, Malaysia;Faculty of Engineering, Multimedia University, Malaysia
Venue:
ICAI'05/MCBC'05/AMTA'05/MCBE'05 Proceedings of the 6th WSEAS international conference on Automation & information, and 6th WSEAS international conference on mathematics and computers in biology and chemistry, and 6th WSEAS international conference on acoustics and music: theory and applications, and 6th WSEAS international conference on Mathematics and computers in business and economics
Year:
2005

Citing 3
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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.