An adaptive SVD-based watermarking scheme based on genetic algorithm

Chih-Chin Lai, Chung-Hung Ko, C. Yeh
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引用次数: 8

Abstract

Digital watermarking has emerged as a leading technique for copyright protection or authentication of multimedia data. It is known that there is a trade off between the imperceptibility and robustness of a digital watermarking scheme. Trying to deal with this problem, an adaptive improved singular value decomposition-based watermarking method by applying local image statistics and the genetic algorithm is presented. The local image statistics can be used not only to measure the perceptibility of watermarks once they are embedded, but also to control the perceptibility during the embedding process. Watermarking components with proper strength factors are the most critical aspect in the whole process and the genetic algorithm is employed to find the appropriate watermarking strength factors. Experimental results confirm the imperceptibility of the proposed method and its robustness against a variety of image-processing attacks.
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一种基于遗传算法的自适应奇异值分解水印方案
数字水印已成为多媒体数据版权保护或认证的主要技术。众所周知,在数字水印方案的不可感知性和鲁棒性之间存在权衡。为了解决这一问题,提出了一种基于局部图像统计和遗传算法的自适应改进奇异值分解水印方法。局部图像统计量不仅可以用来衡量水印嵌入后的可感知性,还可以用来控制水印嵌入过程中的可感知性。选择合适的水印强度因子是整个过程中最关键的环节,采用遗传算法寻找合适的水印强度因子。实验结果证实了该方法的不可感知性和对各种图像处理攻击的鲁棒性。
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