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Proceedings Paper

Performance comparison of denoising filters for source camera identification
Author(s): A. Cortiana; V. Conotter; G. Boato; F. G. B. De Natale
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Paper Abstract

Source identification for digital content is one of the main branches of digital image forensics. It relies on the extraction of the photo-response non-uniformity (PRNU) noise as a unique intrinsic fingerprint that efficiently characterizes the digital device which generated the content. Such noise is estimated as the difference between the content and its de-noised version obtained via denoising filter processing. This paper proposes a performance comparison of different denoising filters for source identification purposes. In particular, results achieved with a sophisticated 3D filter are presented and discussed with respect to state-of-the-art denoising filters previously employed in such a context.

Paper Details

Date Published: 10 February 2011
PDF: 6 pages
Proc. SPIE 7880, Media Watermarking, Security, and Forensics III, 788007 (10 February 2011); doi: 10.1117/12.872489
Show Author Affiliations
A. Cortiana, Univ. degli Studi di Trento (Italy)
V. Conotter, Univ. degli Studi di Trento (Italy)
G. Boato, Univ. degli Studi di Trento (Italy)
F. G. B. De Natale, Univ. degli Studi di Trento (Italy)

Published in SPIE Proceedings Vol. 7880:
Media Watermarking, Security, and Forensics III
Nasir D. Memon; Jana Dittmann; Adnan M. Alattar; Edward J. Delp, Editor(s)

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