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

Dipl.-Phys. Marc Geese 1 , Dr. Paul Ruhnau 1 , and Prof. Dr. Bernd Jähne 2
  • 1 Robert Bosch GmbH, Daimlerstraße 6, 71229 Leonberg, Germany
  • 2 Heidelberg Collaboratory for Image Processing, Speyerer Straße 6, 69115 Heidelberg, Germany

Summary

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.

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