An overview of fuzzy filters for noise reduction

In this paper we give an overview of existing fuzzy filters for image noise reduction. The paper is a sequel to our overview of classical and fuzzy-classical filters (2001), and can be seen as a preparation to our comparative study of classical and fuzzy filters for image noise reduction. We discuss the ideas behind and the construction of the following fuzzy filters: the "fuzzy inference ruled by else-action" filters, the "fuzzy control based" filters, and the GOA filter. Our goal is to give a consistent overview of these fuzzy filters, and to clearly show the mutual differences between them.

[1]  D. Van De Ville,et al.  An overview of classical and fuzzy-classical filters for noise reduction , 2001, 10th IEEE International Conference on Fuzzy Systems. (Cat. No.01CH37297).

[2]  Giovanni Ramponi,et al.  Removal of impulse noise using a FIRE filter , 1996, Proceedings of 3rd IEEE International Conference on Image Processing.

[3]  Dimitri Van De Ville,et al.  New fuzzy filter for Gaussian noise reduction , 2000, IS&T/SPIE Electronic Imaging.

[4]  Mohammad Bagher Menhaj,et al.  A Fuzzy Logic Control Based Approach for Image Filtering , 2000 .

[5]  F. Russo,et al.  A fuzzy filter for images corrupted by impulse noise , 1996, IEEE Signal Processing Letters.

[6]  Fabrizio Russo,et al.  FIRE operators for image processing , 1999, Fuzzy Sets Syst..