1st International ICST Conference on Forensic Applications and Techniques in Telecommunications, Information and Multimedia

Research Article

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

  • @INPROCEEDINGS{10.4108/e-forensics.2008.2764,
        author={Matthew James Sorell},
        title={Conditions for Effective Detection and Identification of Primary Quantization of Re-Quantized JPEG Images},
        proceedings={1st International ICST Conference on Forensic Applications and Techniques in Telecommunications, Information and Multimedia},
        publisher={ACM},
        proceedings_a={E-FORENSICS},
        year={2010},
        month={5},
        keywords={JPEG Forensics re-compression source identification digital camera.},
        doi={10.4108/e-forensics.2008.2764}
    }
    
  • Matthew James Sorell
    Year: 2010
    Conditions for Effective Detection and Identification of Primary Quantization of Re-Quantized JPEG Images
    E-FORENSICS
    ACM
    DOI: 10.4108/e-forensics.2008.2764
Matthew James Sorell1,*
  • 1: School of Electrical and Electronic Engineering, University of Adelaide SA 5005 Australia. +61 8 8303 3226
*Contact email: matthew.sorell@adelaide.edu.au

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.