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An optimized un-compressed video watermarking scheme based on SVD and DWT

机译:基于SVD和DWT的优化非压缩视频水印方案。

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In this paper, we presents a novel fast and robust video watermarking scheme for RGB uncompressed AVI video sequence in discrete wavelet transform (DWT) domain using singular value decomposition (SVD). For embedding scene change detection is performed. The singular values of a binary watermark are embedded within the singular values of the LL3 sub-band coefficients of the video frames. The resultant signed video exhibits good quality. To test the robustness of the proposed algorithm six different video processing operations are performed. The high computed PSNR values indicate that the visual quality of the signed and attacked video is good. The low bit error rate and high normalized cross correlation values indicate a high correlation between the extracted and embedded watermark. Time complexity analysis shows that the proposed scheme is suitable for real time application. It is concluded that the embedding and extraction of the proposed algorithm are well optimized. The algorithm is robust and shows an improvement over other similar reported methods.
机译:在本文中,我们针对奇异值分解(SVD)的离散小波变换(DWT)域中的RGB未压缩AVI视频序列,提出了一种新颖,快速,鲁棒的视频水印方案。为了嵌入,进行场景变化检测。二进制水印的奇异值嵌入视频帧的LL3子带系数的奇异值内。生成的签名视频展现出良好的质量。为了测试所提出算法的鲁棒性,执行了六个不同的视频处理操作。计算出的高PSNR值表明签名并受到攻击的视频的视觉质量良好。低误码率和高归一化互相关值指示提取的水印和嵌入的水印之间的高相关性。时间复杂度分析表明,该方案适用于实时应用。结论表明,该算法的嵌入和提取得到了很好的优化。该算法是鲁棒的,并且显示出相对于其他类似报道方法的改进。

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