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Robust Video Watermarking against Noise and frame Attacks using Wavelet Transforms and Singular Value Decomposition

机译:利用小波变换和奇异值分解对噪声和帧攻击进行鲁棒的视频水印

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Watermarking is utilized to conceal information in electronic media like photographs, propelled music, computerized element. Robust video watermarking is fundamentally used to sign copyright data of the computerized works, the inserted watermark can resist the basic edit processing, image processing and lossy compression, and the watermark is not crushed after some attack and can still be recognized to give authentication12. It resists different attacks, geometrical or non-geometrical without influencing embedded watermark. This paper discuss an algorithm to perform robust video watermarking using the concept of wavelet transforms and singular value decompositions. A performance analysis of PSNR is done for with and without attacks of the practical output video frame.
机译:水印被用于隐藏电子媒体中的信息,例如照片,推进音乐,计算机化元素。鲁棒的视频水印从根本上被用来对计算机化作品的版权数据进行签名,插入的水印可以抵抗基本的编辑处理,图像处理和有损压缩,并且在遭受某些攻击后水印不会被压碎,并且仍然可以被识别出并进行认证12。它可以抵抗不同的攻击,无论是几何攻击还是非几何攻击,都不会影响嵌入的水印。本文讨论了一种利用小波变换和奇异值分解的概念执行鲁棒视频水印的算法。对有无攻击实际输出视频帧的情况下,进行了PSNR的性能分析。

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