Image Denoising Using Adaptive Weighted Median Filter with Synthetic Aperture Radar Images

P.Geetha, B. Chitradevi

Abstract: An Adaptive Weighted Median (AWM) Filter is proposed for improving the performance of median based filters. The proposed adaptive technique used to determine whether the pixel is corrupted or uncorrupted pixel. If it is a corrupted pixel, it will be replaced by the weighted median value. Due to this, the unwanted filtering of uncorrupted pixels is reduced. This can be avoiding unnecessary loss of detail. The experimental results show that the proposed method outperforms the other type of filters for Synthetic aperture radar ice images.

Keywords: Adaptive Weighted Median Filter, Synthetic aperture radar images, Adaptive Median Filter, Weighted Median Filter.

Title: Image Denoising Using Adaptive Weighted Median Filter with Synthetic Aperture Radar Images

Author: P.Geetha, B. Chitradevi

International Journal of Computer Science and Information Technology Research

ISSN 2348-120X (online), ISSN 2348-1196 (print)

Research Publish Journals

Vol. 2, Issue 3, July 2014 - September 2014

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Image Denoising Using Adaptive Weighted Median Filter with Synthetic Aperture Radar Images by P.Geetha, B. Chitradevi