title: Impulse noise cancellation of medical images using wavelet networks and median filters.
abstract: This paper presents a new two-stage approach to impulse noise removal for medical images based on wavelet network (WN). The first step is noise detection, in which the so-called gray-level difference and average background difference are considered as the inputs of a WN. Wavelet Network is used as a preprocessing for the second stage. The second step is removing impulse noise with a median filter. The wavelet network presented here is a fixed one without learning. Experimental results show that our method acts on impulse noise effectively, and at the same time preserves chromaticity and image details very well.
authors.affiliation: Department of Electrical and Computer Engineering, Isfahan University of Technology, Isfahan, Iran.
authors.forename: Amir Reza
authors.initials: AR
authors.lastname: Sadri
authors.forename: Maryam
authors.initials: M
authors.lastname: Zekri
authors.forename: Saeid
authors.initials: S
authors.lastname: Sadri
authors.forename: Niloofar
authors.initials: N
authors.lastname: Gheissari
keywords: Average background difference; gray-level difference; impulse noise; wavelet network