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Proceedings Paper

JPEG recompression detection
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Paper Abstract

Re-quantization commonly occurs when digital multimedia content is being tampered with. Detecting requantization is therefore an important element for assessing the authenticity of digital multimedia content. In this paper, we introduce three features based on the observation that re-quantization (i) induces periodic artifacts and (ii) introduces discontinuities in the signal histogram. After validating the discriminative potential of these features with synthetic signals, we propose a system to detect JPEG re-compression. Both linear (FLD) and non-linear (SVM) classifications are investigated. Experimental results clearly demonstrate the ability of the proposed features to detect JPEG re-compression, as well as their competitiveness compared to prior approaches to achieve the same goal.

Paper Details

Date Published: 28 January 2010
PDF: 12 pages
Proc. SPIE 7541, Media Forensics and Security II, 75410J (28 January 2010); doi: 10.1117/12.838888
Show Author Affiliations
Xiaoying Feng, Univ. College London (United Kingdom)
Gwenaël Doërr, Univ. College London (United Kingdom)


Published in SPIE Proceedings Vol. 7541:
Media Forensics and Security II
Nasir D. Memon; Jana Dittmann; Adnan M. Alattar; Edward J. Delp, Editor(s)

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