Isfahan University of Medical Sciences

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Impulse Noise Cancellation of Medical Images Using Wavelet Networks and Median Filters Publisher



Sadri AR1 ; Zekri M2, 3 ; Sadri S2, 3 ; Gheissari N1
Authors
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Authors Affiliations
  1. 1. Department of Electrical and Computer Engineering, Isfahan University of Technology, Isfahan, Iran
  2. 2. Department of Electrical and Engineering, Iran
  3. 3. Medical Image and Signal Processing Research Center, Isfahan University of Medical Sciences, Isfahan, Iran

Source: Journal of Medical Signals and Sensors Published:2012


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.
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