摘要
提出了一种以灰度图像为水印并用随机序列置乱水印的基于WT域的新的自适应水印算法.首先,将小波变换后的图像的小波系数组成小波子图块,然后根据人类视觉系统(HVS)特性,多参数对小波子图块进行分类.根据分类结果,结合小波变换特征,将不同强度的水印嵌入到不同的小波子图块中.实验结果表明,所提出的算法具有较好的鲁棒性.
A new adaptive watermarking algorithm based on wavelet transform (WT) domain is proposed. The grayscale image is used as watermark, which is scrambled by a pseudorandom sequence. The algorithm organizes wavelet coefficients to form wavelet blocks and classifies the wavelet blocks into several classes based on several parameters with the features of human visual system (HVS). Watermark components with different strength are inserted into different wavelet blocks based on the results of classification and the features of wavelet transform. The experimental results show the algorithm has very excellent robustness.
出处
《福州大学学报(自然科学版)》
CAS
CSCD
2004年第z1期50-54,共5页
Journal of Fuzhou University(Natural Science Edition)
基金
福建省教育厅科研资助项目(K99029)
关键词
数字水印
人类视觉系统
小波变换
算法
digital watermarking
human visual system (HVS)
wavelet transform(WT)
algorithm