Exerting Moment Algorithms for Restoration of Blurred Images

Exerting Moment Algorithms for Restoration of Blurred Images

K. Bhima

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Dr. A Jagan

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α Jawaharlal Nehru Technological University, Hyderabad

Exerting Moment Algorithms for Restoration of Blurred Images

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Abstract

In this paper presents the restoration of blurred images which gets degraded due to diverse atmospheric and environmental conditions, so it is essential to restore the original image. The research outcomes exhibit the major identified bottleneck for restoration is to deal with the blurred image as an input to imaging agent employing various methodologies ranging from principle component analysis to momentary algorithms and also a set of attempts are been executed in image restoration using various algorithms. However the precise results are not been proposed and demonstrated in the comparable researches. Also detail understanding for applications of moment algorithms for image restoration and demonstrating the benefits of geometric and orthogonal moments are becoming the recent requirements for research.

References

13 Cites in Article

Reference Format

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Funding

No external funding was declared for this work.

Conflict of Interest

The authors declare no conflict of interest.

Ethical Approval

No ethics committee approval was required for this article type.

Data Availability

Not applicable for this article.

How to Cite This Article

K. Bhima. 2016. \u201cExerting Moment Algorithms for Restoration of Blurred Images\u201d. Global Journal of Computer Science and Technology - F: Graphics & Vision GJCST-F Volume 16 (GJCST Volume 16 Issue F1): .

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GJCST Volume 16 Issue F1
Pg. 7- 12

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Journal Specifications

Crossref Journal DOI 10.17406/gjcst

Print ISSN 0975-4350

e-ISSN 0975-4172

Keywords

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Classification

GJCST-F Classification: I.3.3 I.4.4

Submission ReceivedDecember 11, 2015
Peer Review Double Blind
Handling Editor
Accepted January 3, 2016
Published January 15, 2016

Version of record

v1.2

Issue date

April 20, 2016

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Article Matrices

Total Score: 107

Country: India

Subject: Global Journal of Computer Science and Technology - F: Graphics & Vision

Authors: K. Bhima, Dr. A Jagan (PhD/Dr. count: 1)

View Count (all-time): 292

Total Views (Real + Logic): 7318

Total Downloads (simulated): 1934

Publish Date: 2016 04, Wed

Monthly Totals (Real + Logic):

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Total Views: 7318

Total Downloads: 1934

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