A type-2 fuzzy logic filter for detail-preserving restoration of digital images corrupted by impulse noise

Authors:
M. Tülin Yildirim;M. Emin Yüksel
Affiliations:
Department of Aircraft Electrical and Electronics, Civil Aviation School, Erciyes, University, Kayseri, Turkey;Digital Signal and Image Processing Laboratory, Department of Electrical and Electronics Engineering, Erciyes University, Kayseri, Turkey
Venue:
ACIVS'07 Proceedings of the 9th international conference on Advanced concepts for intelligent vision systems
Year:
2007

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Abstract

A novel filtering operator based on type-2 fuzzy logic is proposed for detail preserving restoration of images corrupted by impulse noise. The performance of the proposed operator is evaluated for different test images corrupted at various noise densities and also compared with representative impulse noise removal operators from the literature. Results of the filtering experiments show that the presented operator offers superior performance over the competing operators by efficiently suppressing the noise in the image while at the same time effectively preserving the useful information in the image.