sesa 15(5): e2

Research Article

Mobile Watermarking against Geometrical Distortions

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  • @ARTICLE{10.4108/icst.mobimedia.2015.259142,
        author={Jing Zhang and Meili Zhi and Yuting Su and Qingzhong Liu},
        title={Mobile Watermarking against Geometrical Distortions},
        journal={EAI Endorsed Transactions on Security and Safety},
        volume={2},
        number={5},
        publisher={EAI},
        journal_a={SESA},
        year={2015},
        month={8},
        keywords={geometrical distortion; mobile watermarking; otchf correlation filter; mace-mrh correlation filter; perceptual mask; whitening},
        doi={10.4108/icst.mobimedia.2015.259142}
    }
    
  • Jing Zhang
    Meili Zhi
    Yuting Su
    Qingzhong Liu
    Year: 2015
    Mobile Watermarking against Geometrical Distortions
    SESA
    EAI
    DOI: 10.4108/icst.mobimedia.2015.259142
Jing Zhang1, Meili Zhi1, Yuting Su1, Qingzhong Liu2,*
  • 1: Tianjin University
  • 2: Sam Houston State University
*Contact email: liu@shsu.edu

Abstract

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.