Abstract:
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.
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。
关键词:
小波变换,
数字水印,
版权保护,
加性隐藏,
乘性隐藏
CLC Number:
YUAN Yuan,DOU Wenhua. A Meaningful Blind Watermarking Algorithm Based on Wavelet Transform[J]. , 2004, 30(11): 27-.
袁渊,窦文华. 一种基于小波变换域的有意义图像盲水印算法[J]. , 2004, 30(11): 27-.