Digital camera identification using Colour-Decoupled photo response non-uniformity noise pattern

The last few years have seen the use of photo response non-uniformity noise (PRNU) — a unique fingerprint of imaging sensors, in various digital forensic applications such as source device identification, content integrity verification and authentication. However, the use of a colour filter array for capturing only one of the three colour components per pixel introduces colour interpolation error, while the existing methods for extracting PRNU do not take this into account and include the colour interpolation error as part of the PRNU, which leaves room for improvement. In this work we propose a new way of extracting PRNU, called Colour-Decoupled PRNU (CD-PRNU), by exploiting the difference between the physical and artificial colour components of the photos taken by digital cameras that use a colour filter array for interpolating artificial colour components from the physical ones. Experimental results presented in this work have shown the superiority of the proposed CD-PRNU to the commonly used version.

[1]  J. Janesick,et al.  Scientific Charge-Coupled Devices , 2001 .

[2]  Roberto Caldelli,et al.  Distinguishing between Camera and Scanned Images by Means of Frequency Analysis , 2009, e-Forensics.

[3]  Alin C. Popescu,et al.  Exposing digital forgeries in color filter array interpolated images , 2005, IEEE Transactions on Signal Processing.

[4]  R.W. Schafer,et al.  Demosaicking: color filter array interpolation , 2005, IEEE Signal Processing Magazine.

[5]  Mo Chen,et al.  Determining Image Origin and Integrity Using Sensor Noise , 2008, IEEE Transactions on Information Forensics and Security.

[6]  Miroslav Goljan,et al.  Digital camera identification from sensor pattern noise , 2006, IEEE Transactions on Information Forensics and Security.

[7]  Roberto Caldelli,et al.  A DFT-Based Analysis to Discern Between Camera and Scanned Images , 2010, Int. J. Digit. Crime Forensics.

[8]  Chang-Tsun Li Source camera identification using enhanced sensor pattern noise , 2010, IEEE Trans. Inf. Forensics Secur..

[9]  J. Fridrich,et al.  Digital image forensics , 2009, IEEE Signal Processing Magazine.

[10]  Min Wu,et al.  Intrinsic Sensor Noise Features for Forensic Analysis on Scanners and Scanned Images , 2009, IEEE Transactions on Information Forensics and Security.