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。

关键词: 神经网络, 稳健水印, 脆弱水印

Abstract: A neural network algorithm is presented which embeds robust and fragile watermarks into a color image simultaneously. Both of thetwo kinds of watermarks can be retrieved without knowing the original image. The robust performance of the embedded robust watermark isenhanced by the information amplification technique. Experimental results show that the proposed technique is very robust against some imageprocessing operations and joint photographic experts group (JPEG) lossys compression.

中图分类号: 

• TP309