Conditions for effective detection and identification of primary quantization of Re-Quantized JPEG images

Simple item page
dc.contributor.authorSorell, M.
dc.contributor.conferencee-Forensics 2008 (1st : 2008 : Adelaide, Australia)
dc.contributor.editorSorrell, M.
dc.date.issued2008
dc.descriptionArticle No. 18 Copyright © 2008 ICST
dc.description.abstractThe 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.
dc.description.statementofresponsibilityMatthew James Sorell
dc.identifier.citationProceedings of the 1st international conference on Forensic applications and techniques in telecommunications, information, and multimedia and workshop, 21-23 January, 2008:www1-www6
dc.identifier.isbn9789639799196
dc.identifier.orcidSorell, M. [0000-0003-3288-1175]
dc.identifier.urihttp://hdl.handle.net/2440/54347
dc.language.isoen
dc.publisherIEEE
dc.publisher.placeCD
dc.source.urihttp://portal.acm.org/citation.cfm?id=1363241
dc.titleConditions for effective detection and identification of primary quantization of Re-Quantized JPEG images
dc.typeConference paper
pubs.publication-statusPublished

Files

Collections

Electrical and Electronic Engineering publications