Improved photo response non-uniformity (PRNU) based source camera identification-Reference-Cited by-同舟云学术

Improved photo response non-uniformity (PRNU) based source camera identification

Published:2013-03 Issue:1-3 Volume:226 Page:132-141
ISSN:0379-0738
Container-title:Forensic Science International
language:en
Short-container-title:Forensic Science International

Author:

Cooper Alan J.

Publisher

Elsevier BV

Subject

Pathology and Forensic Medicine,Law

Reference27 articles.

1. Determining digital image origin using sensor imperfections;Lukas;Proc. SPIE Int. Conf. Image Video Commun. Processing,2005

2. Digital camera identification from sensor pattern noise;Lukas;IEEE Trans. Inform. Forensics Secur.,2006

3. B. McCleary, Digital imaging system testing and design using physical sensor characteristics, Ph.D. theses, University of Southern California, 2009.

4. Large scale test of sensor fingerprint camera identification;Goljan,2009

5. W. van Houten, Understanding image sensors, noise, non-uniformities and obtaining a likelihood ratio in the process of device identification, M.Sc. theses, University of Amsterdam, 2008.

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