Image forensic analysis for the detection of contrast enhancement and other histogram-based processing, usually relies on the study of first-order statistics derived from image histogram. Methods based on such an approach, though, are easily circumvented by adopting some counter-forensic attacks. To overcome such a problem, we propose a novel forensic technique based on the study of second-order statistics derived from the co-occurrence matrix. The experiments we carried out demonstrate that the proposed approach is very effective even in the presence of counter-forensic attacks, while it retains the good performance of histogram-based methods when no attack is present.
Scheda prodotto non validato
Scheda prodotto in fase di analisi da parte dello staff di validazione
|Titolo:||Second-order Statistics Analysis to Cope with Contrast Enhancement Counter-Forensics|
|Citazione:||De Rosa, A., Fontani, M., Massai, M., Piva, A., & Barni, M. (2015). Second-order Statistics Analysis to Cope with Contrast Enhancement Counter-Forensics. IEEE SIGNAL PROCESSING LETTERS, 22(8), 1132-1136.|
|Appare nelle tipologie:||1.1 Articolo in rivista|
File in questo prodotto: