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Copy-Move Forgery Detection Using Superpixel Clustering Algorithm and Enhanced GWO Based AlexNet Model Cover

Copy-Move Forgery Detection Using Superpixel Clustering Algorithm and Enhanced GWO Based AlexNet Model

Cybernetics and Information Technologies
Volume 22 (2022): Issue 4 (November 2022)
By: Sreenivasu Tinnathi and  G. Sudhavani  
Open Access
|Nov 2022
Authors

Authors

Sreenivasu Tinnathi

sreenivasut@outlook.com

Department of ECE, Acharya Nagarjuna University, Guntur, India

G. Sudhavani

gsudhavani@rvrjc.ac.in

Department of ECE, R.V.R & J.C College of Engineering, Guntur, India
DOI: https://doi.org/10.2478/cait-2022-0041 | Journal eISSN: 1314-4081 | Journal ISSN: 1311-9702
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Language: English
Page range: 91 - 110
Submitted on: Jan 31, 2022
Accepted on: Aug 25, 2022
Published on: Nov 10, 2022
Published by: Bulgarian Academy of Sciences, Institute of Information and Communication Technologies
In partnership with: Paradigm Publishing Services
Publication frequency: 4 issues per year
Keywords:
Adaptive Matching Algorithm,
AlexNet,
Copy-Move Forgery Detection,
Grey Wolf Optimizer,
Superpixel Clustering Algorithm
Related subjects:
Computer sciences,
Information technology

© 2022 Sreenivasu Tinnathi, G. Sudhavani, published by Bulgarian Academy of Sciences, Institute of Information and Communication Technologies
This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 License.

Volume 22 (2022): Issue 4 (November 2022)
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