Electrical & Computer Engineering Faculty Publications
Document Type
Article
Publication Date
9-16-2007
Abstract
We present a generalization of Benford’s law for the first significant digit. This generalization is based on keeping two terms of the Fourier expansion of the probability density function of the data in the modular logarithmic domain. We prove that images in the Discrete Cosine Transform domain closely follow this generalization. We use this property to propose an application in image steganalysis, namely, detecting that a given image carries a hidden message.
Publisher
IEEE
Publication Title
IEEE International Conference on Image Processing
ISSN
1522-4880
First Page
405
Last Page
408
DOI
10.1109/ICIP.2007.4378977
Language (ISO)
English
Sponsorship
IEEE
Keywords
DCT, Fourier series, setaganalysis
Recommended Citation
Abdallah, Chaouki T.; Greg L. Heileman; and Fernando Perez-Gonzalez. "BENFORD’S LAW IN IMAGE PROCESSING." IEEE International Conference on Image Processing (2007): 405-408. doi:10.1109/ICIP.2007.4378977.
