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Proceedings Paper

New fuzzy filter for Gaussian noise reduction
Author(s): Dimitri Van De Ville; Mike Nachtegael; D. Van der Weken; Wilfried R. Philips; Ignace L. Lemahieu; E. Kerre
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Paper Abstract

A new fuzzy filter is presented for the noise reduction of images corrupted with additive Gaussian noise. The filter consists of two stages. The first stage computes a fuzzy gradient for eight different directions around the currently processed pixel. The second stage uses the fuzzy gradient to perform fuzzy smoothing by taking different contributions of neighboring pixel values. The two stages are both based on fuzzy rules which make use of membership functions. The filter can be applied iteratively to effectively reduce heavy noise. The shape of the membership functions is adapted according to the remaining noise level after each iteration, making use of the distribution of the homogeneity in the image. The fuzzy operators are implemented by the classical min/max. Experimental results are obtained to show the feasibility of the proposed approach. These results are also compared to other filters by numerical measures and visual inspection.

Paper Details

Date Published: 29 December 2000
PDF: 9 pages
Proc. SPIE 4310, Visual Communications and Image Processing 2001, (29 December 2000); doi: 10.1117/12.411782
Show Author Affiliations
Dimitri Van De Ville, Ghent Univ. (Belgium)
Mike Nachtegael, Ghent Univ. (Belgium)
D. Van der Weken, Ghent Univ. (Belgium)
Wilfried R. Philips, Ghent Univ. (Belgium)
Ignace L. Lemahieu, Ghent Univ. (Belgium)
E. Kerre, Ghent Univ. (Belgium)


Published in SPIE Proceedings Vol. 4310:
Visual Communications and Image Processing 2001
Bernd Girod; Charles A. Bouman; Eckehard G. Steinbach, Editor(s)

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