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Type: Journal article
Title: Conditions for effective detection and identification of primary quantisation of re-quantized JPEG images
Author: Sorell, M.
Citation: International Journal of Digital Crime and Forensics, 2009; 1(2):13-27
Publisher: IGI Global
Issue Date: 2009
ISSN: 1941-6210
Statement of
Matthew James Sorell
Abstract: The choice of Quantisation 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 quantisation artifacts in the image coefficients, provided that certain image and quantisation conditions are met. This paper explores the conditions under which primary quantisation 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.
Keywords: Digital Camera; Forensics; JPEG; Re-Compression; Source Identification
Rights: Copyright © 2009, IGI Global.
DOI: 10.4018/jdcf.2009040102
Appears in Collections:Aurora harvest 2
Electrical and Electronic Engineering publications

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