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|Scopus||Web of Science®||Altmetric|
|Title:||Conditions for Effective Detection and Identification of Primary Quantization of Re-Quantized JPEG Images|
|Citation:||New Technologies for Digital Crime and Forensics: Devices, Applications, and Software, 2011 / Li, C., Ho, A. (ed./s), pp.224-238|
|Publisher Place:||United States of America|
|Matthew J. Sorell|
|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.|
|Rights:||Copyright © 2011 by IGI Global|
|Appears in Collections:||Aurora harvest|
Electrical and Electronic Engineering publications
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