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A Wavelet-Domain Watermarking Algorithm against Geometric Attacks Based on SUSAN Feature Points

机译:基于SUSAN特征点的小波域抗几何攻击水印算法

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Image watermark resistant to geometric attacks is the focus and difficulty point in the current research on watermarking. This paper proposes a Wavelet-domain watermarking algorithm against geometric attacks based on the SUSAN feature points matching. The algorithm embeds watermarks into each sub-band of the wavelet coefficients of the host image with different strength adaptively adjusted in terms of the gray level of them. The choice of the embedding strategy effectively guarantees good transparency and strong robustness of the watermark. Furthermore, the paper improves the SUSAN operator, to extract the feature points robust to geometric distortion from the watermarked image. Before watermark detection, it uses the transformation of the corresponding points to correct geometric distortion, which ensures successful extraction of the watermark. Experiment results show that the proposed algorithm has good transparency, and it is also robust to common image processing and geometric attacks.
机译:耐几何攻击的图像水印是当前水印研究的重点和难点。提出了一种基于SUSAN特征点匹配的小波域水印算法。该算法将水印嵌入到宿主图像小波系数的每个子带中,并根据它们的灰度级别对它们进行不同程度的调整。嵌入策略的选择有效地保证了水印的良好透明度和强大的鲁棒性。此外,本文对SUSAN算子进行了改进,以从水印图像中提取出对几何失真鲁棒的特征点。在水印检测之前,它使用相应点的变换来校正几何失真,从而确保成功提取水印。实验结果表明,该算法具有良好的透明性,对常见的图像处理和几何攻击也具有较强的鲁棒性。

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