Performance comparison of denoising filters for source camera identification

被引：29

作者：

Cortiana, A. ^{[1
]}

Conotter, V. ^{[1
]}

Boato, G. ^{[1
]}

De Natale, F. G. B. ^{[1
]}

机构：

[1] Univ Trento, Dept Informat Engn & Comp Sci, I-38123 Trento, Italy

来源：

MEDIA WATERMARKING, SECURITY, AND FORENSICS III | 2011年 / 7880卷

关键词：

D O I：

10.1117/12.872489

中图分类号：

O43 [光学];

学科分类号：

070207 ; 0803 ;

摘要：

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.

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页数：6

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