摘要: |
在小波变换理论和奇异值分解方法的基础上,提出了一种新的基于两者的 W-SVD 数字水印算法,能抵抗多种攻击,具有极强的鲁棒性。 对原始图像先进行二级小波变换,再对低频子带进行奇异值分解,对原始水印则直接获取其奇异值,最后用加权方法嵌入水印,加权系数由大量 MATLAB 仿真实验获得。 实验结果表明,对任意角度的旋转攻击、高斯椒盐斑纹和泊松噪声攻击、各种滤波攻击和 JPEG 压缩攻击具有极强的鲁棒性。 |
关键词: 数字水印 小波变换 奇异值分解 强鲁棒性 |
DOI: |
分类号:TS853+. 6 |
基金项目:国家新闻出版总署“数字印刷工程研究中心冶创新开放基金 |
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Digital Image Watermark Algorithm with Strong Robustness Based on WSVD |
WANG Xiao-hong, XU Shi-yang
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University of Shanghai for Science and Technology, Shanghai 200093, China
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Abstract: |
A novel digital watermarking algorithm based on wavelet transform and singular value decomposition method was put forward, which is resistant to a variety of attacks and has a strong robustness. At first, two levels wavelet transformation was carried out on original image. Then, singular value decomposition was carried out on low frequency sub-band to get singular value from original watermark. Finally, the watermark was embed with weight method, in which the weighting coefficients were obtained from large amounts of MATLAB simulation experiments. The experimental results showed that the algorithm has strong robustness against any angle rotation attacks, salt & pepper, speckle, Gaussian and Poisson noise attacks, various filtering attacks, and JPEG compression attacks. |
Key words: digital watermark wavelet transformation singular value decomposition robustness |