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Image Authentication Using Distributed Source Coding

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3 Author(s)
Yao-Chung Lin ; Stanford University, Stanford ; David Varodayan ; Bernd Girod

We present a novel approach using distributed source coding for image authentication. The key idea is to provide a Slepian-Wolf encoded quantized image projection as authentication data. This version can be correctly decoded with the help of an authentic image as side information. Distributed source coding provides the desired robustness against legitimate variations while detecting illegitimate modification. The decoder incorporating expectation maximization algorithms can authenticate images which have undergone contrast, brightness, and affine warping adjustments. Our authentication system also offers tampering localization by using the sum-product algorithm.

Published in:

IEEE Transactions on Image Processing  (Volume:21 ,  Issue: 1 )