UGC Approved Journal no 63975(19)

ISSN: 2349-5162 | ESTD Year : 2014
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Published in:

Volume 5 Issue 11
November-2018
eISSN: 2349-5162

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

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Published Paper ID:
JETIRDR06016


Registration ID:
229720

Page Number

104-108

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Title

Improved Image Restoration Methods: A Review

Abstract

Image processing applications are widely used in various commercial and non-commercial processes. They are used in different fields of science like medical field, space research, forensics and the list goes on. But there are certain problems with current image restoration methods. They include blurring and unwanted noise. Present methods have well restoration ability but the implementation is hard. This paper presents an analysis and results of Image Restoration done gradually, Dual Domain Image Restoration and restoration of the corrupted image in PCA domain.

Key Words

Image Restoration, PCA, Review, Dual Domain Image Restoration.

Cite This Article

"Improved Image Restoration Methods: A Review ", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.5, Issue 11, page no.104-108, November 2018, Available :http://www.jetir.org/papers/JETIRDR06016.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

"Improved Image Restoration Methods: A Review ", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.5, Issue 11, page no. pp104-108, November 2018, Available at : http://www.jetir.org/papers/JETIRDR06016.pdf

Publication Details

Published Paper ID: JETIRDR06016
Registration ID: 229720
Published In: Volume 5 | Issue 11 | Year November-2018
DOI (Digital Object Identifier):
Page No: 104-108
Country: -, -, - .
Area: Engineering
ISSN Number: 2349-5162
Publisher: IJ Publication


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