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Watermarking image encryption using deterministic phase mask and singular value decomposition in fractional Mellin transform domain

机译:使用分数阶Mellin变换域中确定性相位掩码和奇异值分解的水印图像加密

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The aim of this study is watermarking image encryption based on the fractional Mellin transform (FrMT) and singular value decomposition (SVD) using deterministic phase masks (DPMs). DPMs are used in the input as well as in the frequency planes of double random phase encoding. The use of DPM structured phase mask provides an advantage of extra encryption parameters, besides overcoming the problem of axis alignment associated with an optical setup. The encrypted image resulting from the application of FrMT is attenuated by a factor and then combined with a host image to provide a watermarked image. Afterwards, SVD is performed to get three decomposed matrices, i.e. one diagonal matrix and two unitary matrices. The decryption process is the reverse of encryption. Digital implementation of the proposed scheme has been performed using MATLAB R2014a (8.3.0.532). The watermark image is retrieved by using the corresponding FrMT orders and conjugate of DPMs. Use of the FrMT provides enhanced security due to the non-linear nature of the transform. The effect of noise on the watermarked image has also been investigated. Mean square error between the output and input watermarks shows the accuracy of the proposed scheme.
机译:这项研究的目的是基于分数梅林变换(FrMT)和使用确定性相位掩码(DPM)的奇异值分解(SVD)的水印图像加密。 DPM用于输入以及双随机相位编码的频率平面。除了克服与光学装置相关的轴对准问题之外,使用DPM结构的相位掩模还提供了额外的加密参数的优点。由于应用了FrMT而产生的加密图像被衰减了一个因子,然后与宿主图像组合以提供加水印的图像。之后,执行SVD以获得三个分解矩阵,即一个对角矩阵和两个unit矩阵。解密过程与加密相反。拟议方案的数字实现已使用MATLAB R2014a(8.3.0.532)执行。通过使用相应的FrMT顺序和DPM的共轭来检索水印图像。由于转换的非线性特性,FrMT的使用提供了增强的安全性。还研究了噪声对水印图像的影响。输出和输入水印之间的均方误差表明了该方案的准确性。

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