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Performance Evaluation of 2D Adaptive Bilateral Filter For Removal of Noise From Robust Images
B.Sridhar, Dr.K.V.V.S.Reddy
Pages - 17 - 30     |    Revised - 15-01-2013     |    Published - 28-02-2013
Volume - 7   Issue - 1    |    Publication Date - February 2013  Table of Contents
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KEYWORDS
Image Restoration, Adaptive Filter, Laplacian of Gaussian, Pixel To Noise Ratio, Mean Square Error, Half Width Factor, Standard Deviation Factor.
ABSTRACT
In this paper, we present the performance analysis of adaptive bilateral filter by pixel to noise ratio and mean square errors. It was evaluate changing the parameters of the adaptive filter half width values and standard deviations. In adaptive bilateral filter, the edge slope is enhanced by transforming the histogram via a range filter with adaptive offset and width. The variance of range filter can also be adaptive. The filter is applied to improve the sharpens of a gray level and color image by increasing the slope of the edges without producing overshoot or undershoots. The related graphs were plotted and the best filter parameters are obtained.
CITED BY (1)  
1 Sridhar, B., Reddy, K. V. V. S., & Prasad, A. M. (2014). An Unsupervisory Qualitative Image Enhancement using Adaptive Morphological Bilateral Filter for Medical Images. order (2i+ 1), 10(2i), 1.
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Mr. B.Sridhar
Faculty,Department of ECE Lendi Enggneering college Vizianagaram5 35220 - India
srib105@gmail.com
Dr. Dr.K.V.V.S.Reddy
Professor,Department ofECE Andhra University Visakhapatnam, 531003 - India