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Robust Watermarking Algorithm Based on Bi-dimensional Empirical Mode Decomposition

机译:基于双维经验模式分解的鲁棒水印算法

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In this paper, we introduce a robust image watermarking method based on bi-dimensional empirical mode decomposition against geometric distortion. Based on the characteristics of the image theory and human visual system, the proposed method makes use of orthogonal properties of empirical mode decomposition to achieve the bi-dimensional empirical mode decomposition transform on the image. The image is decomposed into a series of IMFs and residue which contain the different frequency parts of the image. So the watermark is adaptively weighed to the different positions of the middle frequency IMF region. The method makes use of the multi-scale analysis characteristics of image bi-dimensional empirical mode decomposition theory and the person's sense of vision and shows excellent advantage against shearing attack. The method could show the watermark clearly when half of the image has been cut. Experimental results show this method excellent robustness for image shearing. The watermark thus generated is invisible and performs well in StirMark test and is robust to geometrical attacks. Compared with other watermarking algorithms, this algorithm is more robust, especially against geometric distortion, while having excellent frequency properties.
机译:在本文中,我们介绍了一种基于双维经验模式分解的鲁棒图像水印方法对几何失真。基于图像理论和人类视觉系统的特征,所提出的方法利用经验模式分解的正交性能,实现图像上的双维经验模式分解变换。该图像被分解成一系列IMF和残留物,其包含图像的不同频率部分。因此,水印被自适应地称为中频IMF区域的不同位置。该方法利用图像双维经验模式分解理论的多尺度分析特征和该人的视觉感,并显示出抗剪切攻击的优异优势。当切割一半图像时,该方法可以清楚地显示水印。实验结果表明,这种方法剪切的良好鲁棒性。如此生成的水印是不可见的并且在睾丸测试中表现良好,并且对几何攻击具有稳健性。与其他水印算法相比,该算法更鲁棒,尤其是对几何失真,同时具有出色的频率特性。

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