摘要
小波变换没有缩放、平移和旋转等几何特性,因此基于小波变换的数字图像水印在抵抗几何攻击方面很差,针对此点,该算法采用对图像特征的提取来抵抗几何攻击。该算法是先对二值图像置乱加密来增强数字水印图像的鲁棒性和安全性,然后在多小波变换后在所选取的子带上嵌入加密后的水印,最后进行特征向量的提取生成密钥。实验结果证明,该算法不仅在加噪声和压缩等常规图像处理方面鲁棒性很强,而且还能很好地抵御几何攻击。
Wavelet transform does not have a rotation,scaling and translation and other geometric properties,so the geometric anti-attack ability of wavelet domain image watermarking is poor.Considering this point,this chapter extract the image features to resist geometric attacks.First of all,a scrambling encryption will be made in digital watermark image to increase the safety and robustness,then embedded watermark is brought to the sub-scrambling encryption after a multi-wavelet transform.Finally it is the extraction of feature vectors.Experiments proves that the algorithm is not only highly robust in the noise and compression of conventional image processing,but also a very good resistance to geometric transformations.
出处
《计算机安全》
2012年第11期15-18,29,共5页
Network & Computer Security
基金
2012年度省教育厅科学技术研究重点项目编号312B510001
关键词
数字水印
多小波变换
小波变换
几何攻击.
Digital Watermarking
Multiwavelets Transform
Wavelet Transform
Geometric Attack.
