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Performance analysis of 2 level DWT-SVD based non blind and blind video watermarking using range conversion method

机译:基于DWT-SVD的非盲和盲视频水印性能分析使用范围转换方法

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摘要

The recent availability of inexpensive digital recording and storage devices have created an environment to obtain, replicate and distribute digital content without any loss in quality. Hence copyright protection and authentication have become inevitable. Leading to a need, to develop an efficient scheme for video watermarking, involving 2-level discrete wavelet transform (DWT) and proficient decomposition technique of singular value decomposition (SVD). Performance parameters like processing time, peak signal to noise ratio (PSNR) and normalized correlation (NC) are compared for non-blind and blind watermarking techniques. Focusing the PSNR and NC values are obtained as an average value of 40?dB and 0.99 respectively, when subjected to formidable noise attacks such as geometrical, filtering, salt and pepper noises. Range conversion method improves PSNR for challenging attacks like salt and pepper, Gaussian and Gamma noises.
机译:最近的廉价数字录制和存储设备的可用性已经创建了一种在没有任何质量损失的情况下获取,复制和分发数字内容的环境。 因此,版权保护和认证已经变得不可避免。 导致需要,为视频水印开发有效的方案,涉及2级离散小波变换(DWT)和奇异值分解(SVD)的熟练分解技术。 与非盲和盲水印技术相比,比较处理时间,峰值信号和归一化相关(NC)等性能参数。 当经受诸如几何,过滤,盐和胡椒噪声之类的强大噪声攻击时,将获得PSNR和NC值的平均值分别为40ΩdB和0.99。 范围转换方法改善了PSNR,以挑战盐和胡椒,高斯和伽玛噪声等挑战攻击。

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