| Paper: | MA-P5.6 |
| Session: | Security I: Authentication and Steganography |
| Time: | Monday, September 17, 09:50 - 12:30 |
| Presentation: |
Poster
|
| Title: |
BENFORD'S LAW IN IMAGE PROCESSING |
| Authors: |
Fernando Perez-Gonzalez; University of Vigo | | |
| | Greg Heileman; University of New Mexico | | |
| | Chaouki Abdallah; University of New Mexico | | |
| 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 discuss an application in image forensics and steganalysis, namely, detecting that a given image carries a hidden message. |
