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Robust Image Watermarking Algorithm Based on ASIFT against Geometric Attacks

机译:基于速度对几何攻击的鲁棒图像水印算法

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摘要

Image processing technology has been developed rapidly in recent years, and altering the content of an image is easy for everyone, but may be illegal for an attacker. Thus, it is urgent and necessary to overcome this problem to protect the integrity and authenticity of images. Watermarking is a powerful technique proposed to solve this problem. This paper introduces a robust image watermarking algorithm working in the wavelet domain, embedding the watermark information into the third level low frequency coefficients after the three-level discrete wavelet transform (DWT) and singular value decomposition (SVD). Additionally, to improve the robustness to geometric attacks, the affine-scale-invariant feature transform (ASIFT) is applied to obtain feature points which are invariant to geometric attacks. Then, features of acquired points between the watermarked image and the received image are used to realize the resynchronization to improve the robustness. Experimental results show that the proposed algorithm achieves great balance between robustness and imperceptibility, and is robust against geometric attacks, JPEG compression, noise addition, cropping, median filters, and so on.
机译:近年来,图像处理技术已迅速发展,改变图像的内容很容易对每个人都很容易,但可能对攻击者是非法的。因此,迫切需要克服这个问题,以保护图像的完整性和真实性。水印是一种强大的技术,提出解决这个问题。本文介绍了在小波域中工作的强大图像水印算法,在三级离散小波变换(DWT)和奇异值分解(SVD)之后将水印信息嵌入到第三级低频系数。另外,为了提高对几何攻击的鲁棒性,应用仿射级不变的特征变换(亚斯特迅速)来获得不变的几何攻击的特征点。然后,使用水印图像和接收图像之间获取点的特征来实现重新同步以提高鲁棒性。实验结果表明,该算法在鲁棒性和难以察觉之间实现了巨大平衡,对几何攻击,JPEG压缩,噪声加法,裁剪,中值滤波等强大。

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