摘要
该文提出一种在图像小波变换的低频系数中嵌入水印的方法,水印的提取是基于神经网络方法,而且不依靠原始输入图像。实验结果表明,该方法所实现的水印图像视觉效果好,且对常见的图像处理是稳健的。
A digital watermarki ng scheme based on wavelet transform for images is proposed in this paper.The sc heme is to hide the watermarking signals in the wavelet domain.The extract met hod is realized by the multilayer perceptron neural networks and the back-propa gation algorithm.The neural networks almost exactly recover the watermarking si gnals from the watermarked images after training and learning.The experimental results show the effectivity and robustness of the digital watermarks.
出处
《计算机工程与应用》
CSCD
北大核心
2004年第26期52-55,共4页
Computer Engineering and Applications
基金
国家自然科学基金资助项目(编号:60275023)
福建省自然科学基金和教育厅资助项目(编号:A0210016
JA03028)
关键词
小波变换
神经网络
水印
稳健性
wavelet transform,neural network,watermarking,robustness