A fast copy-move image forgery detection approach on a reduced search space
Author:
Publisher
Springer Science and Business Media LLC
Subject
Computer Networks and Communications,Hardware and Architecture,Media Technology,Software
Link
https://link.springer.com/content/pdf/10.1007/s11042-022-14224-w.pdf
Reference40 articles.
1. Abd Warif NB, Wahab AWA, Idris MYI, Ramli R, Salleh R, Shamshirband S, Choo KKR (2016) Copy-move forgery detection: survey, challenges and future directions. J Netw Comput Appl 75:259–278. https://doi.org/10.1016/j.jnca.2016.09.008
2. Alberry HA, Hegazy AA, Salama GI (2018) A fast sift based method for copy move forgery detection. Future Comput Inform J 3(2):159–165. https://doi.org/10.1016/j.fcij.2018.03.001
3. 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. https://doi.org/10.1109/TIFS.2015.2445742
4. Bashar M, Noda K, Ohnishi N, Mori K (2010) Exploring duplicated regions in natural images. IEEE Transactions on Image Processing. https://doi.org/10.1109/TIP.2010.2046599
5. Bay H, Ess A, Tuytelaars T, Van Gool L (2008) Speeded-up robust features (surf). Comput Vis Image Underst 110(3):346–359. https://doi.org/10.1016/j.cviu.2007.09.014
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