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.
出处
《控制工程》
CSCD
北大核心
2017年第7期1432-1438,共7页
Control Engineering of China
关键词
分数傅立叶
多频带
二元树复小波
高频
数字水印
Fractional Fourier
multiband
dual-tree complex wavelet
high frequency
digital watermarking
