Bessel-Fourier moment-based robust image zero-watermarking

Bessel-Fourier moment-based robust image zero-watermarking
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基于贝塞尔-傅立叶矩的鲁棒图像零水印

DOI:
10.1007/s11042-013-1701-8
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发表时间:
2015
影响因子:
3.6
通讯作者:
Jiang Guo-Ping
Jiang Guo-Ping
中科院分区:
计算机科学4区
文献类型:
--
作者:
Gao Guangyong;Jiang Guo-Ping

文献摘要

被引文献

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为了抵抗各种信号处理操作和几何变换,提出了一种基于贝塞尔-傅立叶矩的稳健零水印算法。首先对图像进行归一化处理,使其具有平移和缩放不变性,然后计算归一化后的图像具有旋转不变性的贝塞尔-傅立叶矩的幅值,并将其用于构造特征图像作为水印。实验结果和分析表明,该方法对模糊、JPEG压缩、高斯噪声、旋转、缩放、Stirmark和Print_PhotoCopy_Scan等攻击具有较强的鲁棒性。与同类的零水印方案和Zernike矩相比,该方法具有更好的性能。
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.