A new block-based method for copy move forgery detection under image geometric transforms-Reference-Cited by-同舟云学术

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A new block-based method for copy move forgery detection under image geometric transforms

Published:2016-12-07 Issue:13 Volume:76 Page:14887-14903
ISSN:1380-7501
Container-title:Multimedia Tools and Applications
language:en
Short-container-title:Multimed Tools Appl

Author:

Zhong Junliu,Gan Yanfen,Young Janson,Huang Lian,Lin Peiyu

Funder

2016 Guangzhou philosophy and social science "Thirteen Five" project

Publisher

Springer Science and Business Media LLC

Subject

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

Link

http://link.springer.com/article/10.1007/s11042-016-4201-9/fulltext.html

Reference23 articles.

1. Amerini I, Ballan L, Caldelli R, Bimbo AD, Serra G (2011) A SIFT-based forensic method for copy–move attack detection and transformation recovery. IEEE Transactions on Information Forensics and Security 6:1099–1110

2. Amerini I, Barni M, Caldelli R, Costanzo A (2013) Counter-forensics of SIFT-based copy-move detection by means of keypoint classification. EURASIP Journal on Image and Video Processing 2013:1–17

3. Cao Y, Gao T, Fan L, Yang Q (2012) A robust detection algorithm for copy move forgery in digital images. Forensic Sci Int 214:33–43

4. Christlein V, Riess C, Jordan J, Riess C, Angelopoulou E (2012) An evaluation of popular copy-move forgery detection approaches. IEEE Transactions on Information Forensics and Security 7:1841–1854

5. Debbarma S, Singh AB, Singh KM (2014) Keypoints based copy-move forgery detection of digital images. In: Proceedings of 2014 International Conference on Informatics, Electronics & Vision (ICIEV), 1–5

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