基于神经网络的多类水印嵌入技术  

Embedding Technique of Multiple Watermarks Based on Neural Network

作　　者：李旭[1] 顾涛[2] 

机构地区：[1]华北科技学院机电系,北京101601 [2]华北科技学院计算机系,北京101601

出　　处：《计算机工程》2005年第15期144-145,153,共3页Computer Engineering

基　　金：华北科技学院博士启动基金资助项目(2003A-7)

摘　　要：提出了一种基于神经网络模型的两类水印嵌入算法。两类水印提取均不需要原始图像。采用信息放大技术,加强了水印的嵌入强度。实验结果表明,算法对剪切、旋转、JPEG压缩、噪声污染具有很强鲁棒性。A neural network algorithm is presented which embeds robust and fragile watermarks into a color image simultaneously, Both of the two kinds of watermarks can be retrieved without knowing the original image. The robust performance of the embedded robust watermark is enhanced by the information amplification technique. Experimental results show that the proposed technique is very robust against some image processing operations and joint photographic experts group （JPEG） lossys compression.

关 键 词：神经网络 稳健水印 脆弱水印 

分 类 号：TP399[自动化与计算机技术—计算机应用技术]