Robust copy-move forgery detection method using pyramid model and Zernike moments-Reference-Cited by-同舟云学术

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Robust copy-move forgery detection method using pyramid model and Zernike moments

Published:2018-09-04 Issue:8 Volume:78 Page:10207-10225
ISSN:1380-7501
Container-title:Multimedia Tools and Applications
language:en
Short-container-title:Multimed Tools Appl

Author:

Ouyang Junlin,Liu Yizhi,Liao Miao

Funder

Natural Science Foundation of Hunan Province

Education Department of Hunan Province

Doctor Fund University of Science and Technology of Hunan

National Science and Technology Support Project of China

Publisher

Springer Science and Business Media LLC

Subject

Computer Networks and Communications,Hardware and Architecture,Media Technology,Software

Link

http://link.springer.com/content/pdf/10.1007/s11042-018-6605-1.pdf

Reference38 articles.

1. Amerini I, Ballan L, Caldelli R, Del Bimbo A, Serra G (2011) A sift-based forensic method for copy–move attack detection and transformation recovery. IEEE Trans Inf Forensics Secur 6(3):1099–1110

2. Bayram S, Sencar HT, Memon, N (2009) An efficient and robust method for detecting copy-move forgery. IEEE International Conference on Acoustics, p 1053–1056

3. Birajdar GK, Mankar VH (2013) Digital image forgery detection using passive techniques: a survey. Digit Investig 10(3):226–245

4. Bo X, Junwen W, Guangjie, L, Yuewei D (2010) Image copy-move forgery detection based on SURF. International Conference on Multimedia Information Networking and Security, p 889–892

5. Bravo-Solorio S, Nandi AK (2011) Automated detection and localisation of duplicated regions affected by reflection, rotation and scaling in image forensics. Signal Process 91(8):1759–1770

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