Forensic Analysis of Digital Imaging Devices

Non-intrusive component forensics involves identifying algorithms and parameters of a device based on its output data alone. This project extends several of these techniques from standalone digital cameras to cell phone cameras. Methods used include estimating a device’s color interpolation coefficients and noise feature parameters. Robustness to post-camera operations such as digital zoom and JPEG compression is also examined. This research applies to law enforcement and intelligence operations in differentiating between camera-, scanner-, and computer-generated images and determining the brand/model of the device used to capture an image. Further, this research is useful in identifying image tampering and patent infringement.

[1]  Siwei Lyu,et al.  Detecting Hidden Messages Using Higher-Order Statistics and Support Vector Machines , 2002, Information Hiding.

[2]  Nasir D. Memon,et al.  Blind source camera identification , 2004, 2004 International Conference on Image Processing, 2004. ICIP '04..

[3]  Hany Farid,et al.  Exposing digital forgeries by detecting traces of resampling , 2005, IEEE Transactions on Signal Processing.

[4]  Sevinc Bayram,et al.  IMPROVEMENTS ON SOURCE CAMERA-MODEL IDENTIFICATION BASED ON CFA INTERPOLATION , 2005 .

[5]  K.J.R. Liu,et al.  Component Forensics of Digital Cameras: A Non-Intrusive Approach , 2006, 2006 40th Annual Conference on Information Sciences and Systems.

[6]  Min-Jen Tsai,et al.  Camera/Mobile Phone Source Identification for Digital Forensics , 2007, 2007 IEEE International Conference on Acoustics, Speech and Signal Processing - ICASSP '07.

[7]  Min Wu,et al.  Robust scanner identification based on noise features , 2007, Electronic Imaging.

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