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A reference estimator based on composite sensor pattern noise for source device identification

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Li, Ruizhe, Li, Chang-Tsun and Guan, Yu (2014) A reference estimator based on composite sensor pattern noise for source device identification. In: Media Watermarking, Security, and Forensics 2014, San Francisco, California, USA, 2 Feb 2014. Published in: Media Watermarking, Security, and Forensics, Volume 9028 ISBN 9780819499455. doi:10.1117/12.2038651 ISSN 0277-786X.

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Official URL: http://dx.doi.org/10.1117/12.2038651

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Abstract

It 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.

Item Type: Conference Item (Paper)
Subjects: Q Science > QA Mathematics > QA76 Electronic computers. Computer science. Computer software
Divisions: Faculty of Science, Engineering and Medicine > Science > Computer Science
Library of Congress Subject Headings (LCSH): Image processing -- Digital techniques, Interactive multimedia
Journal or Publication Title: Media Watermarking, Security, and Forensics
Publisher: SPIE
ISBN: 9780819499455
ISSN: 0277-786X
Book Title: Media Watermarking, Security, and Forensics 2014
Editor: Alattar, Adnan M. and Memon, Nasir D. and Heitzenrater, Chad D.
Official Date: 19 February 2014
Dates:
DateEvent
19 February 2014Published
Volume: Volume 9028
Article Number: 90280O
DOI: 10.1117/12.2038651
Status: Peer Reviewed
Publication Status: Published
Access rights to Published version: Restricted or Subscription Access
Date of first compliant deposit: 27 December 2015
Date of first compliant Open Access: 27 December 2015
Embodied As: 1
Conference Paper Type: Paper
Title of Event: Media Watermarking, Security, and Forensics 2014
Type of Event: Conference
Location of Event: San Francisco, California, USA
Date(s) of Event: 2 Feb 2014

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