Isolating lens effects from source camera identification using sensor pattern noise

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dc.contributor.authorMatthews, R.
dc.contributor.authorSorell, M.
dc.contributor.authorFalkner, N.
dc.date.issued2019
dc.description.abstractLens aberrations can be used to determine the provenance of camera optics in an image. However, this method does not necessarily identify the camera itself, since lens systems are often interchanged. A method, first published by Lukàš, Fridrich and Goljan, proposed using Fixed Pattern Noise to link a photo to an image sensor using sensor pattern noise. However, their model did not fully account for lens artefacts or temperature. In our work, we have applied standard image processing theory and an understanding of the geometric properties of light and sensor dark current to continue the isolation of artefacts within the sensor pattern noise model. We use three image sensors to take images using six integrated lenses and prepare reference patterns based on the lens for each camera. We then repeat our experiments with a pinhole lens of our design before comparing the correlation energy contained within each. We show that majority of the unique signal power used to correlate an image to a specific camera is related to the photo response non-uniformity noise; however, additional signal power can also be attributed to the optical system of the camera as well as the sensor’s dark current.
dc.description.statementofresponsibilityRichard Matthews, Matthew Sorell and Nickolas Falkner
dc.identifier.citationAustralian Journal of Forensic Sciences, 2019; 51(Suppl. 1):S132-S135
dc.identifier.doi10.1080/00450618.2019.1569133
dc.identifier.issn0045-0618
dc.identifier.issn1834-562X
dc.identifier.orcidMatthews, R. [0000-0002-7744-7631]
dc.identifier.orcidSorell, M. [0000-0003-3288-1175]
dc.identifier.orcidFalkner, N. [0000-0001-7892-6813]
dc.identifier.urihttp://hdl.handle.net/2440/122652
dc.language.isoen
dc.publisherTaylor & Francis
dc.rights© 2019 Australian Academy of Forensic Sciences
dc.source.urihttps://doi.org/10.1080/00450618.2019.1569133
dc.subjectSensor pattern noise; PRNU; digital forensics; dark current
dc.titleIsolating lens effects from source camera identification using sensor pattern noise
dc.typeJournal article
pubs.publication-statusPublished

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