Conditions for effective detection and identification of primary quantization of re-quantized JPEG images

Authors:
Matthew James Sorell
Affiliations:
University of Adelaide SA, Australia
Venue:
Proceedings of the 1st international conference on Forensic applications and techniques in telecommunications, information, and multimedia and workshop
Year:
2008

Citing 2
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Abstract

The choice of Quantization Table in a JPEG image has previously been shown to be an effective discriminator of digital image cameras by manufacturer and model series. When a photograph is recompressed for transmission or storage, however, the image undergoes a secondary stage of quantization. It is possible, however to identify primary quantization artifacts in the image coefficients, provided that certain image and quantization conditions are met. This paper explores the conditions under which primary quantization coefficients can be identified, and hence can be used image source identification. Forensic applications include matching a small range of potential source cameras to an image.