Estimate of PRNU Noise Based on Different Noise Models for Source Camera Identification

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Author(s): Irene Amerini (University of Florence, Italy), Roberto Caldelli (University of Florence, Italy), Vito Cappellini (University of Florence, Italy), Francesco Picchioni (University of Florence, Italy)and Alessandro Piva (University of Florence, Italy)
Copyright: 2012
Pages: 12
Source title: Crime Prevention Technologies and Applications for Advancing Criminal Investigation
Source Author(s)/Editor(s): Chang-Tsun Li (University of Warwick, UK)and Anthony T.S. Ho (University of Surrey, UK)
DOI: 10.4018/978-1-4666-1758-2.ch002

Keywords: Digital Crime & Forensics / Information Science Reference / IT Security and Ethics / Security & Forensics

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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 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.

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Estimate of PRNU Noise Based on Different Noise Models for Source Camera Identification

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