摘要
提出了一种基于小波变换域的有意义图像盲水印算法。算法中利用乘性隐藏方法在原始图像小波高频系数中嵌入一幅二值图像信息,通过拉普拉斯分布对原始图像小波变换域高频系数的统计分布特性进行建模,然后采用最大似然(ML)法推导得出了一个盲水印检测器,并且利用该检测器实现了一个有意义图像的盲水印算法。实验表明该算法具有较好的隐蔽性和鲁棒性。
This paper presents a meaningful blind algorithm in wavelet domain. A binary bitmap is multiplicatively embedded in high frequency of the image wavelet coefficients. The statistical distribution characteristics of the wavelet coefficients is modeled by Laplacian distribution. A blind watermark detector is derived by means of maximum likelihood(ML) method.And then it implements a meaningful blind algorithm with this detector. Experimental results show that the proposed algorithm is robust to several kinds of distortions.
出处
《计算机工程》
CAS
CSCD
北大核心
2004年第11期23-24,59,共3页
Computer Engineering
关键词
小波变换
数字水印
版权保护
加性隐藏
乘性隐藏
Digital watermark
Copyright protection
Additivehiding
Multiplicative hiding
Wavelet transform
