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Reseach Article

Fuzzy Logic based Image De-noising and Enhancement for Grayscale Images

by Suraj Kamya, Madhuri Sachdeva
International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 74 - Number 2
Year of Publication: 2013
Authors: Suraj Kamya, Madhuri Sachdeva
10.5120/12855-9355

Suraj Kamya, Madhuri Sachdeva . Fuzzy Logic based Image De-noising and Enhancement for Grayscale Images. International Journal of Computer Applications. 74, 2 ( July 2013), 5-9. DOI=10.5120/12855-9355

@article{ 10.5120/12855-9355,
author = { Suraj Kamya, Madhuri Sachdeva },
title = { Fuzzy Logic based Image De-noising and Enhancement for Grayscale Images },
journal = { International Journal of Computer Applications },
issue_date = { July 2013 },
volume = { 74 },
number = { 2 },
month = { July },
year = { 2013 },
issn = { 0975-8887 },
pages = { 5-9 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume74/number2/12855-9355/ },
doi = { 10.5120/12855-9355 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T21:41:08.737451+05:30
%A Suraj Kamya
%A Madhuri Sachdeva
%T Fuzzy Logic based Image De-noising and Enhancement for Grayscale Images
%J International Journal of Computer Applications
%@ 0975-8887
%V 74
%N 2
%P 5-9
%D 2013
%I Foundation of Computer Science (FCS), NY, USA
Abstract

A picture is worth a thousand words. Trillions of digital images are used for different purposes in real life every day. Noise can corrupt the images in different ways which results in loss of information. Salt & Pepper is a form of noise which occurs randomly in an image as white and black pixels. Traditionally, median filter is used to remove this kind of noise but it introduces blurring in image which causes loss of small details. In this paper Fuzzy Logic based Adaptive Median Filter (FL-AMF) using MATLAB® is proposed which removes the noise effectively and also preserves small details. By introducing various densities of noise, performance of both filters are compared using PSNR & it is found that FL-AMF gives better results.

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Index Terms

Computer Science
Information Sciences

Keywords

FL-AMF Fuzzy Inference System PSNR Membership set