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An Image Watermarking Scheme Robust to Geometric Distortion Based on SIFT Feature

机译:图像水印方案基于SIFT功能的几何失真强大

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A geometrically robust image watermarking scheme based on scale invariant feature transform (SIFT) and pseudo-Zernike moment is proposed. Firstly, the steady feature points are extracted from the host image by using SIFT; then the size and orientation of each local feature region are ascertained adaptively according to its feature scale and orientation; Lastly, some un-overlapped local feature regions with large-scale are selected for embedding watermarking, and the same digital watermarking is embedded into each local feature region by quantizing the magnitudes of the pseudo-Zernike moments. Simulation results show that the proposed watermarking scheme is invisible, and robust against common signal processing and geometric attacks.
机译:提出了一种基于刻度不变特征变换(SIFT)和伪Zernike时刻的几何鲁棒图像水印方案。首先,使用SIFT从主机图像中提取稳定特征点;然后根据其特征比例和方向自适应地确定每个局部特征区域的大小和方向;最后,选择具有大规模的一些未重叠的局部特征区域来嵌入水印,并且通过量化伪Zernike时刻的大小来嵌入相同的数字水印。仿真结果表明,该提出的水印方案是不可见的,对常见信号处理和几何攻击稳健。

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