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Image sensors come with a spatial inhomogeneity, known as Fixed Pattern Noise, that degrades the image quality. In this paper a known maximum likelihood estimation method is extended in a way that it allows to estimate the two parameters DSNU and PRNU of a sensor’s fixed pattern noise. The method’s input are the averaged sensor responses and the corresponding pairwise sensor covariances. First results show a significant performance increase compared to related methods.

PRNU and DSNU Maximum Likelihood Estimation Using Sensor Statistics / PRNU- und DSNU-Maximum-Likelihood-Schätzung mit Hilfe der Sensorstatistik