东南大学学报（英文版）2007，Vol.23Issue(2)：211-215,5.
基于神经网络和多小波变换的数字水印算法
Digital watermarking algorithm based on neural network in multiwavelet domain
摘要
Abstract
A novel blind digital watermarking algorithm based on neural networks and multiwavelet transform is presented. The host image is decomposed through multiwavelet transform. There are four subblocks in the LL-level of the multiwavelet domain and these subblocks have many similarities. Watermark bits are added to lowfrequency coefficients. Because of the learning and adaptive capabilities of neural networks, the trained neural networks almost exactly recover the watermark from the watermarked image. Experimental results demonstrate that the new algorithm is robust against a variety of attacks, especially, the watermark extraction does not require the original image.关键词
数字水印/神经网络/多小波变换Key words
digital watermarking/neural networks/multiwavelet transform分类
信息技术与安全科学引用本文复制引用
王振飞,宋胜利..基于神经网络和多小波变换的数字水印算法[J].东南大学学报（英文版）,2007,23(2):211-215,5.基金项目
The National Natural Science Foundation of China( No. 60473015). （ No. 60473015）
