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An Extensive Estimation and Analysis of Image Denoising

by Prerna Rajput, Shiv Kumar Singh Tomar, Bhupesh Gour
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International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 113 - Number 8
Year of Publication: 2015
Authors: Prerna Rajput, Shiv Kumar Singh Tomar, Bhupesh Gour
10.5120/19850-1719

Prerna Rajput, Shiv Kumar Singh Tomar, Bhupesh Gour . An Extensive Estimation and Analysis of Image Denoising. International Journal of Computer Applications. 113, 8 ( March 2015), 36-41. DOI=10.5120/19850-1719

@article{ 10.5120/19850-1719,
author = { Prerna Rajput, Shiv Kumar Singh Tomar, Bhupesh Gour },
title = { An Extensive Estimation and Analysis of Image Denoising },
journal = { International Journal of Computer Applications },
issue_date = { March 2015 },
volume = { 113 },
number = { 8 },
month = { March },
year = { 2015 },
issn = { 0975-8887 },
pages = { 36-41 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume113/number8/19850-1719/ },
doi = { 10.5120/19850-1719 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T22:50:28.049011+05:30
%A Prerna Rajput
%A Shiv Kumar Singh Tomar
%A Bhupesh Gour
%T An Extensive Estimation and Analysis of Image Denoising
%J International Journal of Computer Applications
%@ 0975-8887
%V 113
%N 8
%P 36-41
%D 2015
%I Foundation of Computer Science (FCS), NY, USA
Abstract

Image denoising is the technique of removal of the noise from the image contaminated by additive Gaussian noise without loss of features of image. It is a fundamental process in pattern recognition and image processing. When an Image is captured many factors such as lighting spectra, source, intensity and camera Characteristics affect the image. The main factor that reduces the quality of the image is Noise. It hides the important information of images and changes value of image pixels at key locations causing blurring and various other deformities. Noises must be removed from the images without loss of any information with it. Noise removal is the preprocessing stage of image processing. There are many types of noises which may corrupt the images. These noises are appear on images in many ways: at the time of acquisition due to noisy sensors, due to defective scanner or due to faulty digital camera device, as a result of transmission channel errors, due to corrupted storage media. There are numerous researches have been done on wavelet based denoising for estimation of parameters such as variance of the multi scale Linear minimum mean square error. In this review paper we have presented an extensive analysis and literature review on image denoising.

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Index Terms

Computer Science
Information Sciences

Keywords

Optimization Image denoising Image restoration & TV model

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