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Image Denoising Techniques - An Overview

by Rajni, Anutam
journal cover thumbnail

International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 86 - Number 16
Year of Publication: 2014
Authors: Rajni, Anutam
10.5120/15069-3436

Rajni, Anutam . Image Denoising Techniques - An Overview. International Journal of Computer Applications. 86, 16 ( January 2014), 13-17. DOI=10.5120/15069-3436

@article{ 10.5120/15069-3436,
author = { Rajni, Anutam },
title = { Image Denoising Techniques - An Overview },
journal = { International Journal of Computer Applications },
issue_date = { January 2014 },
volume = { 86 },
number = { 16 },
month = { January },
year = { 2014 },
issn = { 0975-8887 },
pages = { 13-17 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume86/number16/15069-3436/ },
doi = { 10.5120/15069-3436 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T22:04:22.292377+05:30
%A Rajni
%A Anutam
%T Image Denoising Techniques - An Overview
%J International Journal of Computer Applications
%@ 0975-8887
%V 86
%N 16
%P 13-17
%D 2014
%I Foundation of Computer Science (FCS), NY, USA
Abstract

Image denoising is a applicable issue found in diverse image processing and computer vision problems. There are various existing methods to denoise image. The important property of a good image denoising model is that it should completely remove noise as far as possible as well as preserve edges. This paper presents a review of some major work in area of image denoising. There have been numerous published algorithms and each approach has its assumptions, advantages and limitations. After brief introduction various methods have been explained for removing noise.

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Index Terms

Computer Science
Information Sciences

Keywords

Denoising Filters Transform Domain Wavelet Thresholding

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