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BENFORD’S LAW IN IMAGE PROCESSING

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Please use this identifier to cite or link to this item: http://hdl.handle.net/1928/20198

BENFORD’S LAW IN IMAGE PROCESSING

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Title: BENFORD’S LAW IN IMAGE PROCESSING
Author: Abdallah, Chaouki T.; Heileman, Greg L.; Perez-Gonzalez, Fernando
Subject(s): DCT
Fourier series
setaganalysis
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.
Date: 2007-09-16
Publisher: IEEE
Citation: IEEE International Conference on Image Processing, 2007. ICIP 2007: 405-408
Description: Digital Object Identifier: 10.1109/ICIP.2007.4378977
URI: http://hdl.handle.net/1928/20198
ISSN: 1522-4880

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