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A secure and robust watermarking algorithm based on the combination of DWT, SVD, and LU decomposition with Arnold's Cat Map approach

机译:基于DWT,SVD和LU分解组合的安全且鲁棒的水印算法与Arnold猫绘图方法

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Watermarking, in particular, is identified as a major technology to achieve copyright protection and multimedia security. In this study, combination of Discrete Wavelet Transform (DWT) and Singular Value Decomposition (SVD) via Lower-and-Upper (LU) Decomposition is proposed as a new watermarking algorithm with a chaotic map approach called Arnold's Cat Map (ACM). Similarity Ratio (SR) and Peak Signal-to-Noise Ratio (PSNR) values in this algorithm, as quality metrics, are greater than that of in the algorithms without chaotic mapping. Apart from robustness, imperceptibility, reliability, and security; the other novel side of this study is to expand the application areas of watermarking with a new algorithm consisting DWT, SVD, and LU with ACM together.
机译:特别是水印被确定为实现版权保护和多媒体安全性的主要技术。在该研究中,通过低级(LU)分解的离散小波变换(DWT)和奇异值分解(SVD)的组合作为一种新的水印算法,其具有称为Arnold的CAT地图(ACM)的混沌映射方法。这种算法中的相似性比(SR)和峰值信噪比(PSNR)值,作为质量指标,大于算法中的算法而没有混乱的映射。除了稳健性,难以置信,可靠性和安全性之外;本研究的另一个小说方面是通过将DWT,SVD和Lu组成的新算法,扩展水印的应用领域。

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