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A reference estimator based on composite sensor pattern noise for source device identification
conference contribution
posted on 2014-01-01, 00:00 authored by R Li, Chang-Tsun LiChang-Tsun Li, Y GuanIt has been proved that Sensor Pattern Noise (SPN) can serve as an imaging device fingerprint for source camera identification. Reference SPN estimation is a very important procedure within the framework of this application. Most previous works built reference SPN by averaging the SPNs extracted from 50 images of blue sky. However, this method can be problematic. Firstly, in practice we may face the problem of source camera identification in the absence of the imaging cameras and reference SPNs, which means only natural images with scene details are available for reference SPN estimation rather than blue sky images. It is challenging because the reference SPN can be severely contaminated by image content. Secondly, the number of available reference images sometimes is too few for existing methods to estimate a reliable reference SPN. In fact, existing methods lack consideration of the number of available reference images as they were designed for the datasets with abundant images to estimate the reference SPN. In order to deal with the aforementioned problem, in this work, a novel reference estimator is proposed. Experimental results show that our proposed method achieves better performance than the methods based on the averaged reference SPN, especially when few reference images used.
History
Event
Society of Photo-Optical Instrumentation Engineers. Conference (2014 : San Fransisco, Calif.)Volume
9028Series
Society of Photo-Optical Instrumentation Engineers ConferencePagination
90280O-1 - 90280O-7Publisher
Society of Photo-Optical Instrumentation EngineersLocation
San Fransisco, Calif.Place of publication
Bellingham, Wash.Publisher DOI
Start date
2014-02-03End date
2014-02-05ISSN
0277-786XeISSN
1996-756XISBN-13
9780819499455Language
engPublication classification
E1.1 Full written paper - refereedCopyright notice
2014, SPIE-IS&TEditor/Contributor(s)
A Alattar, N Memon, C HeitzenraterTitle of proceedings
SPIE 2014 : Proceedings of the 2014 Media Watermarking, Security and Forensics ConferenceUsage metrics
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