摘要
针对一类SVD域图像水印方案存在过高虚警概率的问题,提出了一种改进的混合DWT和SVD的图像参考水印算法。算法先对载体图像进行n层的离散小波变换,然后随机选取第n层的部分或全部子带形成参考子带,并对参考子带进行SVD分解;将Arnold置乱处理后的水印嵌入到SVD分解后的奇异值矩阵中。实验表明,提出的算法具有较好的透明性和安全性;与其他方案相比,解决了虚警概率问题,且对于大部分的攻击,具有更好的鲁棒性能。
For the problem of high false-positive detection rate of a class of Singular Value Decomposition（SVD）based image watermarking scheme, an improved reference watermarking algorithm hybrid Discrete Wavelet Transform（DWT） and SVD is proposed. The host image is applied n-level DWT and selects any or all sub-bands to make reference image, and then performs SVD transform on the reference image. The gray watermarking is preprocessed by using Arnold trans-form and is embedded into the singular value matrix of SVD of reference image. Experimental results show that the pro-posed algorithm is secure and has good transparency. Compared with other schemes, it indicates that the algorithm can solve the problem of false-positive detection and robust against most common attacks.
出处
《计算机工程与应用》
CSCD
2014年第7期75-79,共5页
Computer Engineering and Applications
基金
国家自然科学基金(No.61065010)
关键词
参考水印
离散小波变换
奇异值分解
虚警错误
鲁棒性
reference watermarking
Discrete Wavelet Transform
Singular Value Decomposition
false alarm errors
robustness
