Mobile Watermarking against Geometrical Distortions




Liu, Qingzhong
Zhang, Jing
Su, Yuting
Zhi, Meili

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EAI Endorsed Transactions on Security and Safety


Mobile watermarking robust to geometrical distortions is still a great challenge. In mobile watermarking, efficient computation is necessary because mobile devices have very limited resources due to power consumption. In this paper, we propose a low complexity geometrically resilient watermarking approach based on the optimal tradeoff circular harmonic function (OTCHF) correlation filter and the minimum average correlation energy Mellin radial harmonic (MACE-MRH) correlation filter. By the rotation, translation and scale tolerance properties of the two kinds of filter, the proposed watermark detector can be robust to geometrical attacks. The embedded watermark is weighted by a perceptual mask which matches very well with the properties of the human visual system. Before correlation, a whitening process is utilized to improve watermark detection reliability. Experimental results demonstrate that the proposed watermarking approach is computationally efficient and robust to geometrical distortions.


Article originally published in Endorsed Transactions on Security and Safety. DOI 10.4108/icst.mobimedia.2015.259142


Public Policy Issues, Intellectual property rights, Abuse and crime involving computers, Privacy, algorithms, Geometrical Distortions


Zhang J, Zhi M, Su Y and Liu Q (2015). Mobile watermarking against geometrical distortions. EAI Endorsed Transactions on Security and Safety, 15(5): e2. DOI 10.4108/icst.mobimedia.2015.259142