On estimation accuracy of desynchronization attack channel parameters
IEEE Transactions on Information Forensics and Security
Joint iterative decoding and estimation for side-informed data hiding
IEEE Transactions on Signal Processing - Part II
Amplitude Scale Estimation for Quantization-Based Watermarking
IEEE Transactions on Signal Processing
Quantization-Based Data Hiding Robust to Linear-Time-Invariant Filtering
IEEE Transactions on Information Forensics and Security
Factor graphs and the sum-product algorithm
IEEE Transactions on Information Theory
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We address the question of constructing practical blind watermark decoders that are resilient to scaling and amplitude modulation attacks. We cast the watermark decoding problem as a probabilistic inference problem on a factor graph and solve it via message passing. Our decoder performs nearly as well as a decoder that has exact knowledge of the desynchronization parameters. Experimental results, on both synthetic and natural images, suggest that the decoding algorithm is capable of handling moderate to strong desynchronization attacks very well.