Benford's law in image processing

Fernando Pérez-González, Greg L. Heileman, Chaouki T. Abdallah

Research output: Chapter in Book/Report/Conference proceedingConference contribution

36 Scopus citations

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.

Original languageEnglish (US)
Title of host publication2007 IEEE International Conference on Image Processing, ICIP 2007 Proceedings
PublisherIEEE Computer Society
Pages405-408
Number of pages4
ISBN (Print)1424414377, 9781424414376
DOIs
StatePublished - 2006
Externally publishedYes
Event14th IEEE International Conference on Image Processing, ICIP 2007 - San Antonio, TX, United States
Duration: Sep 16 2007Sep 19 2007

Publication series

NameProceedings - International Conference on Image Processing, ICIP
Volume1
ISSN (Print)1522-4880

Conference

Conference14th IEEE International Conference on Image Processing, ICIP 2007
Country/TerritoryUnited States
CitySan Antonio, TX
Period9/16/079/19/07

Keywords

  • Benford's law
  • DCT
  • Fourier series
  • Setaganalysis
  • Watermarking

ASJC Scopus subject areas

  • Engineering(all)

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