Second-Order Statistics Analysis to Cope With Contrast Enhancement Counter-Forensics
Alessia De Rosa, Marco Fontani, Matteo Massai, Alessandro Piva, Mauro Barni · IEEE Signal Processing Letters · 2015
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.