Paper Details: Downloads: 451
Serial Number: P1150849520
Title: Adaptive Iterative Order Statistics Filters
Authors: K. Somasundaram and P.Shanmugavadivu
Abstract: In this paper we propose two new noise filters, adaptive iterative median filter with threshold (AIMF) and adaptive iterative rank-ordered filter with threshold (AIRF) to restore the images corrupted by impulsive noise. Both these filters are based on the principle of order statistics. Simulated results show that the proposed filters perform much better than many other existing median based filters and are found to give comparable results as those of JM filter based on Jarque-Bera test. The proposed filters are computationally simpler.
Keywords: Impulsive noise, noise filters, highly corrupted image, noise removal, median filter, rank-ordered mean (ROM), order statistics
Journal/Conference: International Journal of Graphics, Vision and Image Processing
Volume: 9
Issue: 4
Submission Date: 12/1/2008 12:00:00 AM
Review Date: 2/10/2009 12:00:00 AM
Publishing Date: 5/22/2009 12:00:00 AM
Article Downloads: 451
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