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Reseach Article

Advance Impulse Noise Filtering using Double Threshold with Edge Preservation

by Priyanshi Shrivastava, Soni Changlani
International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 115 - Number 3
Year of Publication: 2015
Authors: Priyanshi Shrivastava, Soni Changlani
10.5120/20132-2218

Priyanshi Shrivastava, Soni Changlani . Advance Impulse Noise Filtering using Double Threshold with Edge Preservation. International Journal of Computer Applications. 115, 3 ( April 2015), 24-27. DOI=10.5120/20132-2218

@article{ 10.5120/20132-2218,
author = { Priyanshi Shrivastava, Soni Changlani },
title = { Advance Impulse Noise Filtering using Double Threshold with Edge Preservation },
journal = { International Journal of Computer Applications },
issue_date = { April 2015 },
volume = { 115 },
number = { 3 },
month = { April },
year = { 2015 },
issn = { 0975-8887 },
pages = { 24-27 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume115/number3/20132-2218/ },
doi = { 10.5120/20132-2218 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T22:53:45.625170+05:30
%A Priyanshi Shrivastava
%A Soni Changlani
%T Advance Impulse Noise Filtering using Double Threshold with Edge Preservation
%J International Journal of Computer Applications
%@ 0975-8887
%V 115
%N 3
%P 24-27
%D 2015
%I Foundation of Computer Science (FCS), NY, USA
Abstract

Impulse noise detection and removal is very important process in image processing. Here random valued impulse noise (RVIN) is considered because it does not affect the gray values of image pixels uniformly. This paper have proposed an recursive double median median filter based noise removal method using double threshold which filter the impulse noise in two stages, first one is noise detection and second is noise removal. The mathematical calculation and analysis shows that proposed method provides better visual quality and higher PSNR as compared to existing denoising methods even when noise density is very high.

References
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Index Terms

Computer Science
Information Sciences

Keywords

SD-ROM impulse noise median filter PSNR MSE.