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Proceedings Paper

A generalized Benford's law for JPEG coefficients and its applications in image forensics
Author(s): Dongdong Fu; Yun Q. Shi; Wei Su
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Paper Abstract

In this paper, a novel statistical model based on Benford's law for the probability distributions of the first digits of the block-DCT and quantized JPEG coefficients is presented. A parametric logarithmic law, i.e., the generalized Benford's law, is formulated. Furthermore, some potential applications of this model in image forensics are discussed in this paper, which include the detection of JPEG compression for images in bitmap format, the estimation of JPEG compression Qfactor for JPEG compressed bitmap image, and the detection of double compressed JPEG image. The results of our extensive experiments demonstrate the effectiveness of the proposed statistical model.

Paper Details

Date Published: 27 February 2007
PDF: 11 pages
Proc. SPIE 6505, Security, Steganography, and Watermarking of Multimedia Contents IX, 65051L (27 February 2007); doi: 10.1117/12.704723
Show Author Affiliations
Dongdong Fu, New Jersey Institute of Technology (United States)
Yun Q. Shi, New Jersey Institute of Technology (United States)
Wei Su, U.S. Army Communication-Electronics RD&E Ctr. (United States)


Published in SPIE Proceedings Vol. 6505:
Security, Steganography, and Watermarking of Multimedia Contents IX
Edward J. Delp; Ping Wah Wong, Editor(s)

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