Analysis of denoising filters for photo response non uniformity noise extraction in source camera identification

Authors:
Irene Amerini;Roberto Caldelli;Vito Cappellini;Francesco Picchioni;Alessandro Piva
Affiliations:
Media Integration and Communication Center, University of Florence, Italy;Media Integration and Communication Center, University of Florence, Italy;Department of Electronics and Telecommunications, University of Florence, Italy;Media Integration and Communication Center, University of Florence, Italy;Department of Electronics and Telecommunications, University of Florence, Italy
Venue:
DSP'09 Proceedings of the 16th international conference on Digital Signal Processing
Year:
2009

Citing 6
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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 photoresponse 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 denoising filtering operation. This paper presents an analysis of the performances of different denoising filters based on diverse noise models when applied for digital camera tracking. In particular, a digital filter, 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.