SOURCE CAMERA IDENTIFICATION FROM SIGNIFICANT NOISE RESIDUAL REGIONS

This paper investigates the digital forensic problem of determining whether an image has been produced by a specific digital camera. We employ the binary hypothesis testing scheme to detect the presence of photo-response non-uniformity(PRNU) in the image. The main challenge of this scheme is the extremely weak amount of PRNU in the observed noise residual. We propose to extract from the noise residual the significant regions with higher signal quality and discard those regions heavily deteriorated by irrelevant noises. Experimental results demonstrate that the proposed algorithm can improve the identification performance in the sense of decreasing the false rejection rate, which is a critical measure in practical applications.