Research Article
Effect of Different Window Size on Median Filter Performance with Variable Noise Densities
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International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
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| Volume 178 - Issue 2 |
| Published: Nov 2017 |
| Authors: Asmaa Hameed Rasheed, Haneen Mohammed Hussein |
10.5120/ijca2017915732
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Asmaa Hameed Rasheed, Haneen Mohammed Hussein . Effect of Different Window Size on Median Filter Performance with Variable Noise Densities. International Journal of Computer Applications. 178, 2 (Nov 2017), 22-27. DOI=10.5120/ijca2017915732
@article{ 10.5120/ijca2017915732,
author = { Asmaa Hameed Rasheed,Haneen Mohammed Hussein },
title = { Effect of Different Window Size on Median Filter Performance with Variable Noise Densities },
journal = { International Journal of Computer Applications },
year = { 2017 },
volume = { 178 },
number = { 2 },
pages = { 22-27 },
doi = { 10.5120/ijca2017915732 },
publisher = { Foundation of Computer Science (FCS), NY, USA }
}
%0 Journal Article
%D 2017
%A Asmaa Hameed Rasheed
%A Haneen Mohammed Hussein
%T Effect of Different Window Size on Median Filter Performance with Variable Noise Densities%T
%J International Journal of Computer Applications
%V 178
%N 2
%P 22-27
%R 10.5120/ijca2017915732
%I Foundation of Computer Science (FCS), NY, USA
Abstract
A noise removal (de-noising) is one of the important problems in image processing applications. The noise added to the original image by changes the intensity of some pixels while other remain unchanged. Salt-and-pepper noise is one of the impulse noises, to remove it a simplest way used by windowing the noisy image with a conventional median filter. Median filters are the most popular filters extensively applied to eliminate salt-and-pepper noise. This paper evaluates the performance of median filter based on the effective median per window by using different window sizes. The experimental results show that median filter has a good performance in low noise densities and also in high noise densities when using high level of window sizes, but with higher window size a degree of blurring effect will be added to filtered noise. The approach used is a windowing operator technique to cut the pixels of an image, and apply filtering processing to them that take different window sizes 3*3 and 5*5 and 7*7. The results obtain for image size of 250*400.
References
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