A copy-move image forgery detection technique based on Gaussian-Hermite moments
Author:
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/s11042-019-08082-2.pdf
Reference56 articles.
1. Alahmadi A, Hussain M, Aboalsamh H, Muhammad G, Bebis G, Mathkour H (2017) Passive detection of image forgery using DCT and local binary pattern. Signal, Image Video Process 11(1):81–88
2. Amerini G, Ballan I, Caldelli L, Bimbo R, Del Serra A (2011) A SIFT-based forensic method for copy – move attack detection and transformation recovery. IEEE Trans. Inf. Forensics Secur. 6(3):1099–1110
3. 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 Process Image Commun 28(6):659–669
4. Ansari MD, Ghrera SP, Tyagi V (2014) Pixel-based image forgery detection: a review. IETE J Educ 55(1):40–46
5. Ardizzone E, Bruno A, Mazzola G (2015) Copy-move forgery detection by matching triangles of Keypoints. IEEE Trans. Inf. Forensics Secur. 10(10):2084–2094
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