Image Authentication by Statistical Analysis
Signal Processing Conference (EUSIPCO), 2013 Proceedings of the 21th European
This paper investigates the discrimination between Photo- graphic Images (PIM) and Computer Generated (CG) im- ages. The proposed method exploits traces of Color Filter Array (CFA) interpolation, present in PIM images, together with the use of hypothesis testing theory. By using the Like- lihood Ratio Test (LRT), the method proposed to distinguish PIM from CG images warrants a prescribed False Alarm Rate (FAR) and achieves the maximal detection power. Experi- mental results show the efficiency of the proposed method- ology and the high robustness with respect to anti-forensic techniques.