A fast technique to detect copy-move image forgery with reflection and non-affine transformation attacks

Author:

Dixit Anuja,Bag Soumen

Publisher

Elsevier BV

Subject

Artificial Intelligence,Computer Science Applications,General Engineering

Reference52 articles.

1. Censure: Center surround extremas for realtime feature detection and matching;Agrawal,2008

2. Amerini, I., Ballan, L., Caldelli, R., Del Bimbo, A., & Serra, G. (2011a). Micc dataset. http://lci.micc.unifi.it/labd/2015/01/copy-move-forgery-detection-and-localization/.

3. A sift-based forensic method for copy–move attack detection and transformation recovery;Amerini;IEEE Transactions on Information Forensics and Security,2011

4. Ardizzone, E., Bruno, A., & Mazzola, G. (2015a). Ardizzone dataset. http://www.diid.unipa.it/cvip/?pageid=48.

5. Copy–move forgery detection by matching triangles of keypoints;Ardizzone;IEEE Transactions on Information Forensics and Security,2015

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