Behavior Knowledge Space-Based Fusion for Copy-Move Forgery Detection

The detection of copy-move image tampering is of paramount importance nowadays, mainly due to its potential use for misleading the opinion forming process of the general public. In this paper, we go beyond traditional forgery detectors and aim at combining different properties of copy-move detection...

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Veröffentlicht in:	IEEE transactions on image processing 2016-10, Vol.25 (10), p.4729-4742
Hauptverfasser:	Ferreira, Anselmo, Felipussi, Siovani C., Alfaro, Carlos, Fonseca, Pablo, Vargas-Munoz, John E., dos Santos, Jefersson A., Rocha, Anderson
Format:	Artikel
Sprache:	eng
Schlagworte:	behaviour knowledge space Conditional probability Copy-move forgery detection Decision making Detectors Feature extraction Forgery fusion Image detection Image processing Lighting Machine learning multi-direction data analysis multi-scale data analysis Robustness Training Training data Transaction processing Transforms
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