Please use this identifier to cite or link to this item: http://hdl.handle.net/2440/124439
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Type: Journal article
Title: An analysis of optical contributions to a photo-sensor's ballistic fingerprints
Author: Matthews, R.
Sorell, M.
Falkner, N.
Citation: Digital Investigation, 2019; 28:139-145
Publisher: Elsevier
Issue Date: 2019
ISSN: 1742-2876
1873-202X
Statement of
Responsibility: 
R. Matthews, M. Sorell, N. Falkner
Abstract: Lens aberrations have previously been used to determine the provenance of an image. However, this is not necessarily unique to an image sensor, as lens systems are often interchanged. Photo-response non-uniformity noise was proposed in 2005 by Lukáš, Goljan and Fridrich as a stochastic signal which describes a sensor uniquely, akin to a “ballistic” fingerprint. This method, however, did not account for additional sources of bias such as lens artefacts and temperature. In this paper, we propose a new additive signal model to account for artefacts previously thought to have been isolated from the ballistic fingerprint. Our proposed model separates sensor level artefacts from the lens optical system and thus accounts for lens aberrations previously thought to be filtered out. Specifically, we apply standard image processing theory, an understanding of frequency properties relating to the physics of light and temperature response of sensor dark current to classify artefacts. This model enables us to isolate and account for bias from the lens optical system and temperature within the current model.
Keywords: Sensor pattern noise; Photo response non-uniformity; Digital image forensics; Dark current
Description: Available online 14 February 2019
Rights: © 2019 Elsevier Ltd. All rights reserved.
RMID: 0030109745
DOI: 10.1016/j.diin.2019.02.002
Published version: http://dx.doi.org/10.1016/j.diin.2019.02.002
Appears in Collections:Electrical and Electronic Engineering publications

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