A novel image filtering approach for sensor fingerprint estimation in source camera identification

Al-Ani, Mustafa, Khelifi, Fouad, Lawgaly, Ashref and Bouridane, Ahmed (2015) A novel image filtering approach for sensor fingerprint estimation in source camera identification. In: 2015 12th IEEE International Conference on Advanced Video and Signal Based Surveillance (AVSS). IEEE, Piscataway, pp. 1-5. ISBN 978-1-4673-7632-7

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Official URL: http://dx.doi.org/10.1109/AVSS.2015.7301808


Photo-response non-uniformity (PRNU) noise has been well established as a reliable fingerprint of imaging sensors for source camera identification and other forensic applications. In this paper, we introduce a novel denoising method for PRNU noise extraction that considerably outperforms the existing techniques. The rationale is to use as little as one adjacent pixel in spatial domain filtering to suppress the pixel-to-pixel correlation in the estimation of the (supposedly white) PRNU noise. Experimental results are presented based on an image database of ten cameras of different models and makes. These results are embodied in the receiver operating characteristic (ROC) of source camera identification.

Item Type: Book Section
Uncontrolled Keywords: receiver operating characteristic, image filtering approach, sensor fingerprint estimation, source camera identification, photo-response nonuniformity noise, imaging sensors, denoising method, PRNU noise extraction, spatial domain filtering, pixel-to-pixel correlation, image database
Subjects: H600 Electronic and Electrical Engineering
Department: Faculties > Engineering and Environment > Mathematics, Physics and Electrical Engineering
Depositing User: Ay Okpokam
Date Deposited: 13 Dec 2016 14:41
Last Modified: 12 Oct 2019 19:21
URI: http://nrl.northumbria.ac.uk/id/eprint/28899

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