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A robust DWT-SVD blind watermarking algorithm based on Zernike moments

机译:基于Zernike矩的鲁棒DWT-SVD盲水印算法

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摘要

Robustness is an important index for digital watermarking. Most watermarking methods are robust to common attacks, but can not resist geometric attacks. According to the Zernike moments' rotation invariance and scale invariance, a robust DWT-SVD watermarking algorithm is presented based on Zernike moment (ZM). In this scheme, the inscribed circle of the original image matrix is selected as the ZM calculation area, and the square of the inscribed circle is chosen to embed watermark. Firstly, the watermarking embedding area is conducted with 1-level DWT and the low frequency DWT coefficient is divided into non-overlapping blocks; SVD is applied to every block. Secondly, a bit of the watermark is embedded through slight modifications of the singular value (SV) matrix in each block. Finally, some selected ZM of the watermarked image are saved to detect and correct the possible geometric attacks. The simulation has proved that the proposed not just has good resistance to rotation, scaling attacks, and as well, kinds of common signal processing, and can achieve blind extraction.
机译:鲁棒性是数字水印的重要指标。大多数加水印方法对常见攻击都具有鲁棒性,但不能抵抗几何攻击。根据Zernike矩的旋转不变性和尺度不变性,提出了一种基于Zernike矩(ZM)的鲁棒DWT-SVD水印算法。在该方案中,选择原始图像矩阵的内切圆作为ZM计算区域,并选择内切圆的正方形嵌入水印。首先,利用1级DWT进行水印嵌入区域,并将低频DWT系数划分为非重叠块; SVD适用于每个块。其次,通过对每个块中的奇异值(SV)矩阵进行一些修改,可以嵌入一些水印。最后,保存水印图像的某些选定ZM,以检测并纠正可能的几何攻击。仿真证明,提出的算法不仅具有良好的抗旋转,缩放攻击能力,而且还具有多种常见的信号处理能力,并且可以实现盲提取。

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