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图像盲水印算法的遗传优化

方志军1, 罗桂华1, 李润午1, 谭亮1(江西财经大学信息管理学院,南昌 330013)

摘 要
为了提高数字水印的实用性,必须保证水印的鲁棒性和透明性,为此在Cox等人提出的水印稳健性理论的指导下,充分考虑人类视觉系统特性,提出了一种基于遗传算法的图像盲水印算法。通过基于小波边缘的检测,调节系数差,实现了水印透明性和鲁棒性的综合优化。实验结果表明,该算法不仅对于水印的攻击具有强鲁棒性,且兼顾载体图像的质量。
关键词
Optimizing Image Blind Watermarking Using Genetic Algorithm

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Abstract
To improve the practicability of digital watermarking, watermarking imperceptibility and robustness must be ensured. Under the instruction of watermarking robust theory proposed by Cox et al, considering human vision system characteristics fully, a blind digital watermark method based on genetic algorithm is proposed. By adjusting coefficient difference based on edge detection in wavelet transformation domain, integrative optimization of watermarking imperceptibility and robustness is implemented. Experiment show that the method we proposed not only is robust to attacks, but ensures the quality of watermarking embed image.
Keywords

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