Second-Order Statistics Analysis to Cope With Contrast Enhancement Counter-Forensics

@article{Rosa2015SecondOrderSA,
  title={Second-Order Statistics Analysis to Cope With Contrast Enhancement Counter-Forensics},
  author={Alessia De Rosa and Marco Fontani and Matteo Massai and Alessandro Piva and Mauro Barni},
  journal={IEEE Signal Processing Letters},
  year={2015},
  volume={22},
  pages={1132-1136}
}
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… CONTINUE READING
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