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 (GD) and Average Background
Difference (ABD) are considered as the inputs of a Wavelet
Network (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.