Digital Camera Source Identification Through JPEG Quantisation

Digital Camera Source Identification Through JPEG Quantisation

Matthew James Sorrell (University of Adelaide, Australia)
Copyright: © 2009 |Pages: 23
DOI: 10.4018/978-1-59904-869-7.ch014
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Abstract

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.

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