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Modeling of Uncertainties using Fuzzy Interval for Enhancement of Images Corrupted by Impulse Noise

by Rashmi Kumari, S.k.aggarwal
International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 47 - Number 4
Year of Publication: 2012
Authors: Rashmi Kumari, S.k.aggarwal
10.5120/7176-9824

Rashmi Kumari, S.k.aggarwal . Modeling of Uncertainties using Fuzzy Interval for Enhancement of Images Corrupted by Impulse Noise. International Journal of Computer Applications. 47, 4 ( June 2012), 22-24. DOI=10.5120/7176-9824

@article{ 10.5120/7176-9824,
author = { Rashmi Kumari, S.k.aggarwal },
title = { Modeling of Uncertainties using Fuzzy Interval for Enhancement of Images Corrupted by Impulse Noise },
journal = { International Journal of Computer Applications },
issue_date = { June 2012 },
volume = { 47 },
number = { 4 },
month = { June },
year = { 2012 },
issn = { 0975-8887 },
pages = { 22-24 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume47/number4/7176-9824/ },
doi = { 10.5120/7176-9824 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T20:41:00.773351+05:30
%A Rashmi Kumari
%A S.k.aggarwal
%T Modeling of Uncertainties using Fuzzy Interval for Enhancement of Images Corrupted by Impulse Noise
%J International Journal of Computer Applications
%@ 0975-8887
%V 47
%N 4
%P 22-24
%D 2012
%I Foundation of Computer Science (FCS), NY, USA
Abstract

Noise filtering is the fundamental pre-processing step for digital images. In this paper we present a novel method in which the uncertainties of fuzzy membership function is modeled to reduce and the concept of this reduced uncertainties is used to detect the impulse corrupted pixels of digital images. Taking an interval instead of using a crisp value of membership function deals better with the uncertainties arises due to noisy data, uncertain meaning of word etc. Impulse noise is detected by using Laplacian operator and blurred S-shaped fuzzy membership function is used for removal of impulse noise where for the restoration the half of sum of mean and median of the kernel is used . The performance is compared with other existing filters on the basis of PSNR values calculated for original and restored images.

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Index Terms

Computer Science
Information Sciences

Keywords

Type-2 Fuzzy Logic System Impulse Noise Removal Image Processing