Journal of Terahertz Science and Electronic Information Technology , Volume. 18, Issue 4, 679(2020)
Image forgery detection algorithm based on exponential moments and locally sensitive Hash
[1] [1] ZHONG Junliu,GAN Yanfen,YOUNG Janson. A new block-based method for copy move forgery detection under image geometric transforms[J]. Multimedia Tools and Applications, 2017,73(16):14887-14903.
[2] [2] YANG Hongying,NIU Ying,JIAO Lixian. Robust copy-move forgery detection based on multi-granularity superpixels matching[J]. Multimedia Tools and Applications, 2018,77(11):13615-13641.
[3] [3] WANG Chunpeng,WANG Xingyuan,XIA Zhiqiu. Geometrically resilient color image zero-watermarking algorithm based on quaternion exponent moments[J]. Journal of Visual Communication and Image Representation, 2016,41(7):247-259.
[6] [6] CHRISTLEIN V,RIESS C,JORDAN J. An evaluation of popular copy-move forgery detection approaches[J]. IEEE Transactions on Information Forensics & Security, 2012,7(6):1841-1854.
[7] [7] RAHUL Dixit,RUCHIRA Naskar,SWATI Mishra. Blur-invariant copy-move forgery detection technique with improved detection accuracy utilizing SWT-SVD[J]. IET Image Processing, 2017,11(5):301-309.
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LI Jianjun, WU Wenliang, ZHANG Fuquan. Image forgery detection algorithm based on exponential moments and locally sensitive Hash[J]. Journal of Terahertz Science and Electronic Information Technology , 2020, 18(4): 679
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Received: Aug. 22, 2019
Accepted: --
Published Online: Dec. 25, 2020
The Author Email: Jianjun LI (LijIANJ1982pro@126.com)