A generalized Benford's law for JPEG coefficients and its applications in image forensics
Document Type
Conference Proceeding
Publication Date
1-1-2007
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 Q-factor 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. © 2007 SPIE-IS&T.
Identifier
34250355507 (Scopus)
ISBN
[0819466182, 9780819466181]
Publication Title
Proceedings of SPIE the International Society for Optical Engineering
External Full Text Location
https://doi.org/10.1117/12.704723
ISSN
0277786X
Volume
6505
Recommended Citation
Fu, Dongdong; Shi, Yun Q.; and Su, Wei, "A generalized Benford's law for JPEG coefficients and its applications in image forensics" (2007). Faculty Publications. 13691.
https://digitalcommons.njit.edu/fac_pubs/13691
