傅立叶M波段二元树复小波SVD水印算法  

Fractional Fourier M-band Dual-tree Complex Wavelet and SVD Based Digital Watermarking Algorithm

作　　者：廖瑞华[1] 孙昌庆[2] 刘宏[3] 

机构地区：[1]湖南第一师范学院信息科学与工程学院,长沙410205 [2]中国冶金科工集团有限公司,北京100028 [3]湖南师范大学理学院,长沙410081

出　　处：《控制工程》2017年第7期1432-1438,共7页Control Engineering of China

摘　　要：图像通常包含许多边缘或噪声点导致二进制小波域中高频成分较多,而传统二元树复小波算法存在不适于处理高频成分缺点。为此,利用多频带(M波段)正交小波能够更好的将能量压缩为窄带信号高频分量特点,对传统二元树复小波算法结构进行改进,并结合分数傅立叶算法和SVD算法实现数字水印高频信号的高精度处理,设计了分数傅立叶M波段二元树复小波SVD数字水印算法。仿真结果显示,改进算法提高了算法对高频压缩攻击、滤波攻击的鲁棒性。The image usually contains a lot of edges,high-frequency components, meanwhile, the traditionalfor processing high frequency components. For thiswhich lead the binary wavelet domain have manydual-tree complex wavelet algorithm is not suitablereason, here makes use the multi-band （M-band）orthogonal wavelet with its advantage in compressing energy to narrowband signal frequency component toimprove the traditional dual-tree complex wavelet algorithm, and combined with the fractional Fouriertransform and SVD algorithm to realize the high-precision processing for high-frequency signals of digitalwatermark, then, the fractional Fourier M-band dual-tree complex wavelet and SVD based digitalwatermarking algorithm is proposed. Simulation results show that the algorithm can improve the robustnessof the algorithm against high frequency compression attacks and filtering attacks.

关 键 词：分数傅立叶 多频带 二元树复小波 高频 数字水印 

分 类 号：TP391[自动化与计算机技术—计算机应用技术]