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Optimal SVD based Robust Watermarking using Differential Evolution Algorithm

机译:基于SVD基于SVD的使用差分演进算法的鲁棒性水印

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This paper presents a novel optimal watermarking scheme based on singular value decomposition (SVD) using differential evolution algorithm (DE). The singular values (SVs) of the host image are modified to embed the watermark image by employing multiple scaling factors (SFs). Modifications are optimised using DE to obtain the highest possible robustness without losing the transparency. Experimental results show both the significant improvement in transparency and the robustness under attacks.
机译:本文介绍了一种基于差分演进算法(DE)的奇异值分解(SVD)的新型最佳水印方案。修改主机图像的奇异值(SV)以通过采用多种缩放因子(SFS)来嵌入水印图像。使用de优化修改,以获得最高可能的鲁棒性,而不会失去透明度。实验结果表明透明度的显着改善和攻击下的鲁棒性。

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