Paper Details: Downloads: 491
Serial Number: P1151024133
Title: An Adaptive Switching Filter for Removing Impulse Noise from Highly corrupted Images
Authors: R.K.Kulkarni and S.Meher and J.M.Nair
Abstract: This paper proposes a simple yet effective algorithm for effectively denoising the extremely corrupted image by impulse noise. The proposed method first classifies the pixels into two classes, which are “noise free pixel” and “noisy pixel” based on the intensity values. The corrupted pixels are replaced by “alpha trim- mean” value of uncorrupted pixels in the filtering window. The method adaptively changes the size of filtering window based on the number of “noise free pixels”. Because of this, the proposed method removes the noise much more effectively even at noise density as high as 90% and preserves the good image quality. The visual and quantitative results prove that the performance of proposed algorithm (PA) in the preservation of edges and details is far more superior to many of the median filtering techniques reported in terms of retaining the fidelity of the image highly corrupted by impulse noises. The proposed algorithm work very well for images with lower percentage of impulse noise also.
Keywords: Impulse noise, Nonlinear filter, Switching filter, Adaptive filter.
Journal/Conference: International Journal of Graphics, Vision and Image Processing
Volume: 10
Issue: 4
Submission Date: 6/10/2010 12:00:00 AM
Review Date: 9/8/2010 12:00:00 AM
Publishing Date: 10/23/2010 12:00:00 AM
Article Downloads: 491
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