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Source camera identification using enhanced sensor pattern noise

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Li, Chang-Tsun. (2010) Source camera identification using enhanced sensor pattern noise. IEEE Transactions on Information Forensics and Security, Vol.5 (No.2). pp. 280-287. ISSN 1556-6013

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Official URL: http://dx.doi.org/10.1109/TIFS.2010.2046268

Abstract

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.

Item Type:	Journal Article
Subjects:	T Technology > TR Photography
Divisions:	Faculty of Science > Computer Science
Library of Congress Subject Headings (LCSH):	Digital images, Digital cameras -- Identification, Images, Photographic -- Noise, Image processing
Journal or Publication Title:	IEEE Transactions on Information Forensics and Security
Publisher:	IEEE
ISSN:	1556-6013
Date:	June 2010
Volume:	Vol.5
Number:	No.2
Page Range:	pp. 280-287
Identification Number:	10.1109/TIFS.2010.2046268
Status:	Peer Reviewed
Access rights to Published version:	Open Access
Funder:	Forensic Pathways (Firm)
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URI:	http://wrap.warwick.ac.uk/id/eprint/3318