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A Proposed Robust Video Watermarking Algorithm: Enhanced Extraction from Geometric Attacks

机译:提出的鲁棒视频水印算法:从几何攻击中增强提取

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This paper proposes a new integrated system based on a video watermarking algorithm with high imperceptibility, improved security, robust against common image and video processing attacks and geometric attacks. The proposed algorithm is based on the features of a selected best algorithm by Agilandeeswari and Ganesan and its limitations. The advantages of the hybrid transform techniques of Nonsubsampled Contourlet Transform, Discrete Wavelet Transform and Singular Value Decomposition are utilized for high robustness against common attacks. The features of angle invariance and distance invariability of Log Polar Transform and Inverse Log Polar Transform are used in the extraction process only to resist geometric attacks without affecting the imperceptibility of watermark and watermarked video. Modified Arnold Transformation is introduced to improve the security of the watermark. The experiment shows that the algorithm is extremely robust in terms of most common attacks and geometric attacks with high imperceptibility and improved security.
机译:本文提出了一种基于视频水印算法的集成系统,该系统具有较高的感知能力,更高的安全性,对常见图像和视频处理攻击以及几何攻击的鲁棒性。所提出的算法基于Agilandeeswari和Ganesan选择的最佳算法的特点及其局限性。利用非下采样Contourlet变换,离散小波变换和奇异值分解的混合变换技术的优势,可以抵御常见攻击。对数极坐标变换和逆对数极坐标变换的角度不变性和距离不变性的特征仅在提取过程中用于抵抗几何攻击,而不会影响水印和水印视频的不可感知性。引入了改进的Arnold变换以提高水印的安全性。实验表明,该算法在最常见的攻击和几何攻击方面具有极高的鲁棒性,并具有较高的感知能力和更高的安全性。

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