title: MR images restoration with the use of fuzzy filter having adaptive membership parameters.
abstract: A new fuzzy adaptive median filter is presented for the noise reduction of magnetic resonance images corrupted with heavy impulse (salt and pepper) noise. In this paper, we have proposed a Fuzzy Adaptive Median Filter with Adaptive Membership Parameters (FAMFAMP) for removing highly corrupted salt and pepper noise, with preserving image edges and details. The FAMFAMP filter is an improved version of Adaptive Median Filter (AMF) and is presented in the aim of noise reduction of images corrupted with additive impulse noise. The proposed filter can preserve image details better than AMF while suppressing additive salt and pepper or impulse type noise. In this paper, we placed our preference on bell-shaped membership function with adaptive parameters instead of triangular membership function without variable coefficients in order to observe better results.
authors.affiliation: Department of Electronics and Computer Technology, Faculty of Technology, Gazi University, Ankara, Teknikokullar 06500, Turkey. iguler@gazi.edu.tr
authors.forename: I
authors.initials: I
authors.lastname: Güler
authors.forename: A
authors.initials: A
authors.lastname: Toprak
authors.forename: A
authors.initials: A
authors.lastname: Demirhan
authors.forename: R
authors.initials: R
authors.lastname: Karakiş
mesh_terms: D017143:Fuzzy Logic; D006801:Humans; D007089:Image Enhancement / Q000379:methods*; D007090:Image Interpretation, Computer-Assisted / Q000379:methods*; D008279:Magnetic Resonance Imaging / Q000379:methods*