Analysis and Improvement of SVDBased Image Watermarking Algorithm(Chinese)
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摘要: 分析现有的利用奇异值分解的一些图像水印算法，指出其存在着对原始载体图像和随机选取的图像的误检测率高的问题.通过分析奇异值分解的性质，指出了造成以上问题的原因并构造了一种新的算法.实验表明新算法能够比较好地区别含水印图像和未含水印的原始载体图像，对随机选取的图像的误检测率也大大降低，同时保证了比较高的鲁棒性，有实用价值.Abstract: This paper analyzed some existing image watermarking algorithms using singular value decomposition(SVD) technique, and pointed out they have the problem of high error detection rate of original image and randomly chosen images. With the analysis of SVD's properties a new algorithm was proposed. Experiments showed the new proposed algorithm can distinguish the watermarked image from unwatemarked original image.It can also significantly decrease error detection rate of randomly chosen images. This algorithm has good robustness.
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