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Bessel-Fourier moment-based robust image zero-watermarking

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Abstract

Aiming to resist various signal processing operations and geometric transformations, this paper proposes a robust zero-watermarking algorithm based on a new image moment called Bessel-Fourier moment. First, image normalization is used for the invariance of translation and scaling, then the magnitudes of Bessel-Fourier moments of normalized image are computed, which have rotation invariance and are used to construct the feature image regarded as watermarking. Experimental results and analyses show that the proposed method has strong robustness to various attacks, such as blurring, JPEG compression, Gaussian noise, rotation, scaling, Stirmark and print_photocopy_scan. Compared to the congener zero-watermarking schemes and Zernike moment, the developed method has better performance.

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Acknowledgments

This work is supported in part by the National Natural Science Foundation of China (Grant No. 61362032, 61374180), the Six Projects Sponsoring Talent Summits of Jiangsu Province, China (Grant No. SJ209006), the Research Fund for the Doctoral Program of Higher Education of China(20103223110003), the Natural Science Foundation of Jiangsu Province, China (Grant No. BK2010526), the Natural Science Foundation of Educational Commission of Jiangxi Province, China (Grant No. GJJ12614, GJJ13716), the Natural Science Foundation of Jiangxi Province, China (Grant No. 20132BAB211025) and the Humanity and Social Science Youth foundation of Ministry of Education,China (Grant No. 13YJC870007).

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Authors and Affiliations

  1. College of Automation, Nanjing University of Posts and Telecommunications, Nanjing, 210003, China

    Guangyong Gao & Guoping Jiang

  2. School of Information Science & Technology, Jiujiang University, Jiujiang, 332005, China

    Guangyong Gao

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  1. Guangyong Gao
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  2. Guoping Jiang
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Correspondence to Guangyong Gao or Guoping Jiang.

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Gao, G., Jiang, G. Bessel-Fourier moment-based robust image zero-watermarking. Multimed Tools Appl 74, 841–858 (2015). https://doi.org/10.1007/s11042-013-1701-8

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