摘要
提出了一种基于离散小波变换、离散傅里叶变换和奇异值分解相结合的盲水印算法。该算法对原始图像进行一级离散小波变换后选择低频子带图像作分块离散傅里叶变换,然后对分块离散傅里叶变换的幅度谱进行奇异值分解,选择最大奇异值并采用量化嵌入方法实现水印的嵌入和盲提取。为了提高算法对旋转攻击的鲁棒性,采用基于Radon变换的检测算法对待检测图像进行旋转校正。实验结果表明,该算法对一些常规攻击和几何攻击都具有较强的鲁棒性。
A blind watermarking algorithm is proposed in combination of discrete wavelet transform（DWT） , discrete fourier transform（DFT） and singular value decomposition（SVD） domain. Firstly, a original image is conducted with one-level DWT and its low frequency wavelet band is split into non-overlapping blocks. Then each block is conducted with DFT and its amplitude is con- ducted with SVD. At last,the watermarking is embedded and extracted blindly with a quantization method in the biggest singular value of SVD. To improve the robustness to rotation attack, a detection algorithm based on Radon transform is adopted to correct the image to be detected. Experimental results show that the proposed algorithm has strong robustness to some common attacks and geometric distortion.
出处
《电视技术》
北大核心
2015年第20期11-13,34,共4页
Video Engineering
基金
国家自然科学基金项目(61164019)
