Abstract: Identification of the source that has generated a digital content is considered one of the main open issues in multimedia forensics community. The extraction of photo-response non-uniformity (PRNU) noise has been so far indicated as a mean to identify sensor fingerprint. Such a fingerprint can be estimated from multiple images taken by the same camera by means of a de-noising filtering operation. In this paper, the authors propose a novel method for estimating the PRNU noise in source camera identification. In particular, a MMSE digital filter in the un-decimated wavelet domain, based on a signal-dependent noise model, is introduced and compared with others commonly adopted for this purpose. A theoretical framework and experimental results are provided and discussed.

  url          = {http://www.igi-global.com/bookstore/Article.aspx?TitleId=43552},
  journal      = {International Journal of Digital Crime and Forensics},
  author       = {Irene Amerini and Roberto Caldelli and Vito Cappellini and Francesco Picchioni and Alessandro Piva},
  number       = {2},
  volume       = {2},
  year         = {2010},
  title        = {Estimate of {PRNU} noise based on different noise models for source camera identification},
  pages        = {21-33},