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Performance Comparison of Various Image Denoising Filters under Spatial Domain

by Inderpreet Singh, Nirvair Neeru
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International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 96 - Number 19
Year of Publication: 2014
Authors: Inderpreet Singh, Nirvair Neeru
10.5120/16903-6969

Inderpreet Singh, Nirvair Neeru . Performance Comparison of Various Image Denoising Filters under Spatial Domain. International Journal of Computer Applications. 96, 19 ( June 2014), 21-30. DOI=10.5120/16903-6969

@article{ 10.5120/16903-6969,
author = { Inderpreet Singh, Nirvair Neeru },
title = { Performance Comparison of Various Image Denoising Filters under Spatial Domain },
journal = { International Journal of Computer Applications },
issue_date = { June 2014 },
volume = { 96 },
number = { 19 },
month = { June },
year = { 2014 },
issn = { 0975-8887 },
pages = { 21-30 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume96/number19/16903-6969/ },
doi = { 10.5120/16903-6969 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T22:22:11.933757+05:30
%A Inderpreet Singh
%A Nirvair Neeru
%T Performance Comparison of Various Image Denoising Filters under Spatial Domain
%J International Journal of Computer Applications
%@ 0975-8887
%V 96
%N 19
%P 21-30
%D 2014
%I Foundation of Computer Science (FCS), NY, USA
Abstract

Image denoising is very important during enhancement of image. Original Image is generally corrupted with various types of noise. The noise present in the images may appear as additive or multiplicative components. The most challenging problem is removing that noise from an Image while preserving its details. Several noise removal techniques have been developed so far each having its own advantages and disadvantages. The focus of this paper is to study various spatial filters and to compare their performance in removing different types of noise. Here quantitative measure of comparison is provided by the Peak Signal to Noise Ratio (PSNR) parameter.

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Index Terms

Computer Science
Information Sciences

Keywords

Image denoising Additive or Multiplicative Noise Peak Signal to Noise Ratio.

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