Method for Detecting of Clone Areas in a Digital Image under Conditions of Additional Attacks-Reference-Cited by-同舟云学术

Method for Detecting of Clone Areas in a Digital Image under Conditions of Additional Attacks

Published:2019-04-15 Issue:1 Volume:92 Page:55-69
ISSN:1939-8018
Container-title:Journal of Signal Processing Systems
language:en
Short-container-title:J Sign Process Syst

Author:

Kobozeva Alla A.,Bobok Ivan I.^ORCID,Grygorenko Svitlana M.

Publisher

Springer Science and Business Media LLC

Subject

Hardware and Architecture,Modeling and Simulation,Information Systems,Signal Processing,Theoretical Computer Science,Control and Systems Engineering

Link

http://link.springer.com/content/pdf/10.1007/s11265-019-01449-6.pdf

Reference42 articles.

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2. Huang, H., Guo, W., & Zhang, Y. (2008). Detection of copy-move forgery in digital image using SIFT algorithm. Proceedings of IEEE Pacific–Asia workshop on computational intelligence and industrial application (PACIIA’08) (Pages: 272–276 Year of Publication: 2008 ISBN 9780769534909).

3. Kotkar, P. S., & Shriramwar, S. S. (2014). Detecting region duplication forgery in digital image using SIFT features. International Journal of Current Engineering and Technology, 4(3), 1437–1440.

4. Pan, X., & Lyu, S. (2010). Region duplication detection using image feature matching. IEEE Transactions on Information Forensics and Security, 5(4), 857–867.

5. Amerini, I., Ballan, L., Caldelli, R., Del Bimbo, A., Del Tongo, L., & Serra, G. (2013). Copy-move forgery detection and localization by means of robust clustering with J-linkage. Signal Processing: Image Communication, 28(6), 659–669.

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