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Selecting optimal blocks for image watermarking using entropy and distinct discrete firefly algorithm

机译:使用熵和不同离散的萤火虫算法选择用于图像水印的最佳块

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摘要

Image watermarking is the most promising method for preserving image copyright and its ownership identification. Watermark should have two contradictory properties of transparency and robustness. Location of embedding watermark in the image plays an important role in balancing these two properties. In this paper, a novel robust image watermarking scheme is proposed which uses combination of entropy and distinct discrete firefly algorithm (DDFA) for selecting suitable blocks to balance transparency and robustness. As image blocks numbers are distinct and discrete values, DDFA which is the modified version of firefly algorithm for optimizing distinct and discrete values is proposed and used to select optimal blocks. Hadamard transform applies on each selected block and watermark bits are embedded in Hadamard coefficients using average neighboring coefficients. Using Hadamard transform domain caused more robustness against signal processing attacks. The proposed method has been investigated by various standard metrics and experimental results showed its high robustness and imperceptibility; furthermore, there is a significant balance between these two properties.
机译:图像水印是保存图像版权及其所有权识别最有希望的方法。水印应该具有两个透明度和稳健性的矛盾性质。在图像中嵌入水印的位置在平衡这两个属性方面发挥着重要作用。在本文中,提出了一种新颖的鲁棒图像水印方案,其使用熵和不同离散的萤火虫算法(DDFA)的组合来选择合适的块来平衡透明度和鲁棒性。由于图像块数字是不同的和离散值,提出了DDFA,其是用于优化不同和离散值的萤火虫算法的修改版本,并用于选择最佳块。 Hadamard变换适用于每个所选块,并使用平均相邻系数在Hadamard系数中嵌入水印比特。使用Hadamard变换域导致了对信号处理攻击的更具鲁棒性。通过各种标准度量研究了该方法,实验结果表明其高稳健性和难以察觉;此外,这两个属性之间存在显着平衡。

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