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Double-encrypted watermarking algorithm based on cosine transform and fractional Fourier transform in invariant wavelet domain

机译:基于余弦变换和不变小波域的分数傅里叶变换的双加密水印算法

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摘要

The existing watermarking algorithms invariant wavelet domain are weak at resisting geometric attacks and have small embedding capacities. In this paper, a robust double-encrypted watermarking algorithm based on the fractional Fourier transform (FRFT) and discrete cosine transform (DCT) in invariant wavelet domain is proposed. A hybrid domain is obtained by applying the redistributed invariant wavelet transform (RIDWT) and cosine transform to the enlarged host image. The low-frequency and high-frequency regions of the domain have advantages against different attacks; thus, the two components are both selected for watermark embedding. To solve the false positive problem, the enlarged watermark is double-encrypted by the Arnold transform and the FRFT before a singular value decomposition is applied to it, which enhances the security of the algorithm due to the generation of more keys. Multiparameter particle swarm optimization (MP-PSO) is used to obtain the optimal embedding factors for achieving the balance between invisibility and robustness. The simulation results and comparative experiments show that the proposed algorithm exhibits high robustness under the premise of satisfying security, reliability and invisibility, especially for geometric attacks such as rotation, cropping and translation. (C) 2020 Elsevier Inc. All rights reserved.
机译:现有的不变小波域水印算法抗几何攻击能力弱,嵌入容量小。提出了一种基于不变小波域分数傅里叶变换(FRFT)和离散余弦变换(DCT)的鲁棒双加密水印算法。将重分布不变小波变换(RIDWT)和余弦变换应用于放大的宿主图像,得到一个混合域。域的低频和高频区域对不同的攻击具有优势;因此,这两个组件都被选择用于水印嵌入。为了解决假阳性问题,在对放大后的水印进行奇异值分解之前,通过Arnold变换和FRFT对水印进行双重加密,由于生成了更多密钥,从而提高了算法的安全性。多参数粒子群优化算法(MP-PSO)用于获得最佳嵌入因子,以实现不可见性和鲁棒性之间的平衡。仿真结果和对比实验表明,该算法在满足安全性、可靠性和不可见性的前提下具有很高的鲁棒性,尤其是对旋转、裁剪和平移等几何攻击。(C) 2020爱思唯尔公司版权所有。

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