Fast sequential forensic detection of camera fingerprint

Two sequential camera fingerprint detection methods are proposed. Sequential tests implement a log-likelihood ratio test in an incremental way, thus enabling a reliable decision with a minimal number of observations. One of our methods adapts Goljan et al.'s to sequential operation. The second, which offers better performance in terms of average number of test observations, is based on treating the alternative hypothesis as a doubly stochastic model. Finally, we validate the performance of our methods with experiments and compare them with the state of the art in fast camera fingerprint detection.