Confidence weighting for sensor fingerprinting

Abstract

The use of photo-response non-uniformity (PRNU) has been proposed as the basis of a sensor fingerprint for common source camera identification. We perform tests of the PRNU-based fingerprint on a set of videos chosen to represent a wide range of potential inputs. Based on the results of these tests, we propose a confidence weighting scheme to address the problem of extracting a viable fingerprint from videos where high-frequency content (e.g. edges) persist at a given image location. We further show that the extended PRNU estimation algorithm with confidence weighting has improved performance on such problematic videos.