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A novel robust digital image watermarking method using SVD and GA

机译:基于SVD和GA的鲁棒数字图像水印新方法。

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摘要

A novel evolutionary-based watermarking algorithm for digital images is proposed. Robustness and imperceptibility are two important properties in digital image watermarking which compete with each other. In this paper a DCT and SVD based intelligent algorithm is applied to make a tradeoff between these two properties. First of all, a cover image is divided into 8×8 blocks and some of them which are special ones are transformed to DCT domain. The singular value decomposition is applied to DCT coefficients and singular values change according to a binary watermark image. The binary watermark image is obtained by Genetic Algorithm to solve the optimization problem between robustness and imperceptibility. So the novelty of this method is image adaptability. Robustness of the proposed method against several attacks such as filtering, noise contamination, JPEG compression and some geometrical attacks is good. In comparison with a recently similar existing work, experimental results show improvement in both imperceptibility and robustness.
机译:提出了一种基于进化的数字图像水印算法。鲁棒性和不可感知性是数字图像水印技术中相互竞争的两个重要属性。在本文中,基于DCT和SVD的智能算法被应用来在这两个属性之间进行权衡。首先,将封面图像划分为8×8的块,并将其中一些特殊的块转换为DCT域。奇异值分解应用于DCT系数,并且奇异值根据二进制水印图像变化。通过遗传算法获得二值水印图像,解决了鲁棒性和不可感知性之间的优化问题。因此,这种方法的新颖之处在于图像的适应性。所提出的方法对诸如过滤,噪声污染,JPEG压缩和某些几何攻击等多种攻击的鲁棒性很好。与最近类似的现有工作相比,实验结果表明,感知力和鲁棒性均得到改善。

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