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Robust digital watermarking based on local invariant radial harmonic fourier moments

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Abstract

It is a challenging work to design a robust image watermarking scheme against local geometric distortions. Radial harmonic Fourier moments (RHFMs) is a powerful tool in image processing owing to its better image description capability, lower noise sensitivity, and geometric invariance property. Based on SURF (Speeded-up robust features) detector and invariant RHFMs, we proposed a robust image watermarking scheme against local geometric distortions in this paper. Firstly, the SURF detector, which is a fast and highly performant multiscale feature detector, is used to extract image feature points in original image. Secondly, the stable and non-overlapped local circular regions centered at feature points are thereafter constructed and selected by combining characteristic scales and feature points refinement. And finally, the digital watermark is embedded in the invariant RHFMs of the local circular regions. Similarly to watermark insertion, the digital watermark can be blindly detected from the local circular regions. Experimental results confirm the validity of our approach and its higher robustness against various attacks (especially local geometric distortions) compared to alternative watermarking methods in the literature.

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Acknowledgment

This work was supported by the National Natural Science Foundation of China under Grant No. 61272416, 60873222, & 60773031, the Open Project Program of Jiangsu Key Laboratory of Image and Video Understanding for Social Safety (Nanjing University of Science and Technology) under Grant No. 30920130122006, the Open Foundation of Zhejiang Key Laboratory for Signal Processing under Grant No. ZJKL_4_SP-OP2013-01, the Open Foundation of Provincial Key Laboratory for Computer Information Processing Technology (Soochow University) under Grant No. KJS1325, the Open Project Program of the State Key Lab of CAD&CG (Grant No. A1425), Zhejiang University, and Liaoning Research Project for Institutions of Higher Education of China under Grant No. L2013407.

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Authors and Affiliations

  1. School of Computer and Information Technology, Liaoning Normal University, Dalian, 116029, People’s Republic of China

    Hong-ying Yang, Pei Wang, Xiang-yang Wang, Pan-pan Niu, E-no Miao & Yan Zhang

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  1. Hong-ying Yang
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  2. Pei Wang
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  3. Xiang-yang Wang
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  5. E-no Miao
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  6. Yan Zhang
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Correspondence to Xiang-yang Wang.

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Yang, Hy., Wang, P., Wang, Xy. et al. Robust digital watermarking based on local invariant radial harmonic fourier moments. Multimed Tools Appl 74, 10559–10579 (2015). https://doi.org/10.1007/s11042-014-2187-8

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  • DOI: https://doi.org/10.1007/s11042-014-2187-8

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