Digital camera source identification through JPEG quantisation

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dc.contributor.authorSorell, M.
dc.contributor.editorChang tsun Li,
dc.date.issued2008
dc.description.abstract<jats:p>We propose that the implementation of the JPEG compression algorithm represents a manufacturer and model-series specific means of identification of the source camera of a digital photographic image. Experimental results based on a database of over 5,000 photographs from 27 camera models by 10 brands shows that the choice of JPEG quantisation table, in particular, acts as an effective discriminator between model series with a high level of differentiation. Furthermore, we demonstrate that even after recompression of an image, residual artefacts of double quantisation continue to provide limited means of source camera identification, provided that certain conditions are met. Other common techniques for source camera identification are also introduced, and their strengths and weaknesses are discussed. </jats:p>
dc.description.statementofresponsibilityMatthew J. Sorell
dc.description.urihttp://www.amazon.com/Multimedia-Forensics-Security-Chang-tsun-Li/dp/1599048698
dc.identifier.citationMultimedia forensics and security, 2008 / Chang tsun Li, (ed./s), pp.291-313
dc.identifier.doi10.4018/978-1-59904-869-7.ch014
dc.identifier.isbn9781599048697
dc.identifier.orcidSorell, M. [0000-0003-3288-1175]
dc.identifier.urihttp://hdl.handle.net/2440/40426
dc.language.isoen
dc.publisherIGI Global
dc.publisher.placeUSA and UK
dc.source.urihttps://doi.org/10.4018/978-1-59904-869-7.ch014
dc.titleDigital camera source identification through JPEG quantisation
dc.typeBook chapter
pubs.publication-statusPublished

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