UGC Approved Journal no 63975(19)

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Published in:

Volume 5 Issue 8
August-2018
eISSN: 2349-5162

UGC and ISSN approved 7.95 impact factor UGC Approved Journal no 63975

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Published Paper ID:
JETIRD006047


Registration ID:
187037

Page Number

320-325

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Title

Singular Value Decomposition based Image Denoising

Abstract

Noise in image degrades the quality of the image. The aim of denoising is to reconstructing an original image from noisy image by securing important features. For visual quality and extraction of edges and texture information from the images, denoising is necessary. It is a necessary preprocessing step for many applications such as image compression, segmentation, identification, object recognition etc. In this paper, images are corrupted by Gaussian noise which is additive in nature. A recent development in this area of research is the use of Singular Value Decomposition (SVD).

Key Words

Image denoising, additive Gaussian noise, K-means clustering, SVD

Cite This Article

"Singular Value Decomposition based Image Denoising", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.5, Issue 8, page no.320-325, August-2018, Available :http://www.jetir.org/papers/JETIRD006047.pdf

ISSN


2349-5162 | Impact Factor 7.95 Calculate by Google Scholar

An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 7.95 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator

Cite This Article

"Singular Value Decomposition based Image Denoising", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.5, Issue 8, page no. pp320-325, August-2018, Available at : http://www.jetir.org/papers/JETIRD006047.pdf

Publication Details

Published Paper ID: JETIRD006047
Registration ID: 187037
Published In: Volume 5 | Issue 8 | Year August-2018
DOI (Digital Object Identifier):
Page No: 320-325
Country: Chennai, Tamilnadu, India .
Area: Engineering
ISSN Number: 2349-5162
Publisher: IJ Publication


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