Digital imaging sensor identification (further study)

Mo Chen; Jessica Fridrich; Miroslav Goljan

doi:10.1117/12.703370

27 February 2007 Digital imaging sensor identification (further study)

Mo Chen, Jessica Fridrich, Miroslav Goljan

Proceedings Volume 6505, Security, Steganography, and Watermarking of Multimedia Contents IX; 65050P (2007) https://doi.org/10.1117/12.703370
Event: Electronic Imaging 2007, 2007, San Jose, CA, United States

Abstract

In this paper, we revisit the problem of digital camera sensor identification using photo-response non-uniformity noise (PRNU). Considering the identification task as a joint estimation and detection problem, we use a simplified model for the sensor output and then derive a Maximum Likelihood estimator of the PRNU. The model is also used to design optimal test statistics for detection of PRNU in a specific image. To estimate unknown shaping factors and determine the distribution of the test statistics for the image-camera match, we construct a predictor of the test statistics on small image blocks. This enables us to obtain conservative estimates of false rejection rates for each image under Neyman- Pearson testing. We also point out a few pitfalls in camera identification using PRNU and ways to overcome them by preprocessing the estimated PRNU before identification.

Citation Download Citation

Mo Chen, Jessica Fridrich, and Miroslav Goljan "Digital imaging sensor identification (further study)", Proc. SPIE 6505, Security, Steganography, and Watermarking of Multimedia Contents IX, 65050P (27 February 2007); https://doi.org/10.1117/12.703370

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