摘要
提出了在WPT域上基于块模糊分类的新的自适应水印算法。首先用m-序列来控制对原始图像进行小波包变换的分解结构,将适当的小波系数组成小波子块。然后根据人类视觉系统(HVS)模型和能量模型,对小波子块进行模糊分类。最后,根据分类结果,将不同强度的二值水印嵌入到不同的小波子块中。实验结果表明,提出的算法能抵抗各种图像处理的攻击,具有较好的鲁棒性。
In this paper,a novel adaptive watermarking algorithm is proposed,which is based on fuzzy classification in WPT domain.In the first stage of the proposed method,the original image is converted to frequency domain with wavelet packet transform by using the m-sequence.Then we organize some wavelet coefficients to form wavelet blocks.After that,these blocks are classified by the model based on human visual system(HVS)and the model based on energies.Finally binary watermark components with different strength are embedded to different wavelet blocks according to the results of classification.Experimental results show that the proposed approach is with good performance and robust to image processing and attack.
出处
《计算机工程与应用》
CSCD
北大核心
2004年第30期54-56,96,共4页
Computer Engineering and Applications
基金
福建省教育厅科技项目(编号:K99029)
关键词
数字水印
小波包变换
模糊块分类
digital watermark,wavelet packet transform,block fuzzy classification
