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Research Letters in Signal Processing
Volume 2007 (2007), Article ID 47549, 5 pages
Research Letter

Image Authentication Using Added Signal-Dependent Noise

Department of Electrical and Computer Engineering, University of Toronto, Toronto, Canada M5S 1A8

Received 16 September 2007; Accepted 24 October 2007

Academic Editor: Mark Liao

Copyright © 2007 Xin Cindy Guo and Dimitrios Hatzinakos. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.


Image authentication has applications in security systems, photo forensics, and photo journalism. This paper presents an image authentication scheme using added signal-dependent noise. Imperceptible noise is embedded into the image at the time of acquisition according to the film grain noise model. During authentication, the image is divided into key-dependent overlapping blocks and the parameters of the embedded noise are extracted. The variance of the extracted parameters can be used to show the authenticity of an image. Test results indicate that the proposed algorithm is robust against content-preserving modifications such as JPEG compression and at the same time is capable of detecting malicious tampering.