| 一种基于Haar小波和归一化的鲁棒零水印算法 |
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| 作者姓名： | 冷晓旭 肖俊 |
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| 作者单位： | 中国科学院研究生院, 北京 100049 |
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| 基金项目： | 国家自然科学基金青年基金(61003275)资助 |
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| 摘 要： | 应用小波变换和改进的几何归一化方法,提出一种强鲁棒图像零水印算法. 该算法首先利用一种改进的几何归一化方法将原始图像化为标准图像,然后对标准图像利用Haar小波进行多级小波分解,最后根据高层的中高频小波系数的正负极性构造零水印. 对算法性能进行测试的结果表明,算法对噪声、滤波、有损压缩等常规信号处理具有强鲁棒性,对旋转、缩放、平移、剪切等几何攻击也具有较好的鲁棒性.
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| 关 键 词： | 零水印 小波变换 几何归一化 几何攻击 |
| 收稿时间： | 2012-02-20 |
| 修稿时间： | 2012-06-08 |
A robust zero-watermarking algorithm based on Haar wavelet and normalization |
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| Authors: | LENG Xiao-Xu XIAO Jun |
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| Institution: | Graduate University, Chinese Academy of Sciences, Beijing 100049, China |
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| Abstract: | A robust image zero-watermarking algorithm is proposed by using Haar transform and an improved geometric normalization method. The original image is first transformed into a standard image by using the improved geometric normalization method. The multilayer Haar transform is then applied to the standard image. Finally, the zero watermarks are constructed based on the high and intermediate frequency wavelet coefficients. Experimental results show that the algorithm has strong robustness resisting normal signal process as well as geometric attacks. |
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| Keywords: | zero-watermarking DWT geometric normalization geometric attack |
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