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Source camera identification using enhanced sensor pattern noise

journal contribution
posted on 2010-06-01, 00:00 authored by Chang-Tsun LiChang-Tsun Li
Sensor pattern noises (SPNs), extracted from digital images to serve as the fingerprints of imaging devices, have been proved as an effective way for digital device identification. However, as we demonstrate in this work, the limitation of the current method of extracting SPNs is that the SPNs extracted from images can be severely contaminated by details from scenes, and as a result, the identification rate is unsatisfactory unless images of a large size are used. In this work, we propose a novel approach for attenuating the influence of details from scenes on SPNs so as to improve the device identification rate of the identifier. The hypothesis underlying our SPN enhancement method is that the stronger a signal component in an SPN is, the less trustworthy the component should be, and thus should be attenuated. This hypothesis suggests that an enhanced SPN can be obtained by assigning weighting factors inversely proportional to the magnitude of the SPN components.

History

Journal

IEEE transactions on information forensics and security

Volume

5

Pagination

280-287

Location

Piscataway, N.J.

ISSN

1556-6013

Language

eng

Publication classification

C1.1 Refereed article in a scholarly journal

Copyright notice

2010, IEEE

Issue

2

Publisher

Institute of Electrical and Electronics Engineers

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