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Blind gain invariant image watermarking using random projection approach

机译:使用随机投影方法盲获得不变图像水印

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Digital Watermarking helps us to protect the intellectual property of distributed media by hiding a piece of information within it. In this paper, a robust image watermarking method based on the projection of samples of the host signal into a random space is proposed. First, the vector constructed by the host signal samples is projected on two random vectors. Then, to embed a watermark digit, the ratio of the two projections is quantized. In order to preserve the imperceptibility of the watermark, analytical calculations are made to minimize the resultant distortion. To extract the watermark, a maximum likelihood detector is designed and accordingly the error probability of the proposed method is derived. The performance of the proposed method is investigated in terms of watermark to noise ratio. It is shown that there exists a trade-off between distortion and capacity without any concerns about the error probability. Experimental results verify the theoretical achievements of this study and show the superior performance of the proposed method in comparison to the state-of-the-art methods. Simulation results also demonstrate the robustness of the proposed method against common attacks such as filtering and geometrical attacks. (C) 2019 Elsevier B.V. All rights reserved.
机译:数字水印帮助我们通过隐藏其中的信息来保护分布式媒体的知识产权。在本文中,提出了一种基于主机信号的样本投影到随机空间的鲁棒图像水印方法。首先,由主机信号样本构成的向量投影在两个随机向量上。然后,为了嵌入水印数字,量化两个投影的比率。为了保留水印的难以察觉,进行分析计算以最小化所得到的变形。为了提取水印,设计了最大似然检测器并因此导出所提出的方法的误差概率。在水印对噪声比方面研究了所提出的方法的性能。结果表明,在误差概率上没有任何疑虑,存在失真和容量之间的权衡。实验结果验证了本研究的理论成果,并显示了与最先进的方法相比之下的方法的优越性。仿真结果还展示了所提出的方法对普通攻击的鲁棒性,例如过滤和几何攻击。 (c)2019 Elsevier B.v.保留所有权利。

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