Conditions for Effective Detection and Identification of Primary Quantization of Re-Quantized JPEG Images

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Author(s): Matthew J. Sorell (University of Adelaide, Australia)
Copyright: 2011
Pages: 15
Source title: New Technologies for Digital Crime and Forensics: Devices, Applications, and Software
Source Author(s)/Editor(s): Chang-Tsun Li (University of Warwick, UK)and Anthony T. S. Ho (University of Surrey, UK)
DOI: 10.4018/978-1-60960-515-5.ch016

Keywords: Digital Crime & Forensics / Information Science Reference / IT Security and Ethics / Security & Forensics

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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 chapter 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.

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Conditions for Effective Detection and Identification of Primary Quantization of Re-Quantized JPEG Images

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