Abstract: The last few years have seen the applications of Photo Response Non-Uniformity noise (PRNU) - a unique stochastic fingerprint of image sensors, to various types of digital forensic investigations such as source device identification and integrity verification. In this work we proposed a new way of extracting PRNU noise pattern, called Decomposed PRNU (DPRNU), by exploiting the difference between the physical and artificial color components of the photos taken by digital cameras that use a Color Filter Array for interpolating artificial components from physical ones. Experimental results presented in this work have shown the superiority of the proposed DPRNU to the commonly used version. We also proposed a new performance metrics, Corrected Positive Rate (CPR) to evaluate the performance of the common PRNU and the proposed DPRNU.

  publisher    = {Springer Verlag},
  author       = {Yue Li and Chang-Tsun Li},
  url          = {http://www.springerlink.com/content/kx51w112u4753395/},
  series       = {Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering},
  pages        = {166--172},
  volume       = {8},
  year         = {2009},
  editor       = {Matthew Sorell},
  address      = {Berlin, Heidelberg},
  title        = {Decomposed photo response non-uniformity for digital forensic analysis},
  booktitle    = {Forensics in Telecommunications, Information and Multimedia, Second International Conference, e-Forensics 2009, Adelaide, Australia, January 19--21, 2009, Revised Selected Papers},