基于神经模糊控制的自适应图像水印算法  

Adaptive watermarking algorithm for image based on neural-fuzzy control

作　　者：王琛晖[1] 舒志彪[1] 

机构地区：[1]福州大学数学与计算机科学学院,福建福州350002

出　　处：《计算机工程与设计》2005年第10期2657-2659,2697,共4页Computer Engineering and Design

基　　金：福建省教育厅科技基金项目(K99029)

摘　　要：提出了基于神经模糊控制网络的新的自适应图像水印算法。该算法首先对原始图像进行小波变换,组织小波块。接着,从子块的视觉掩蔽性和能量强度两个方面,建立和训练神经模糊控制网络,得到每个小波子块嵌入水印的最优强度值。最后,根据神经模糊控制得出的最优嵌入强度,将不同强度的水印嵌入到不同的小波块中。实验结果表明,所提出的算法能抵抗各种常规的图像处理的攻击,具有较好的鲁棒性和透明性。A novel adaptive watermarking algorithm was proposed for image based on neural-fuzzy control. Firstly the original image was decomposed by wavelet transformation. And then some wavelet coefficient were organized to form wavelet blocks. After that, the neural-fuzzy control network was set up and trained in order to get the best embedding strength of the watermark. Finally, watermark components with different strength were embedded to different wavelet blocks according to the best strength got fi＇om the trained network. The experimental results show that the proposed algorithm is with good robustness and imperceptibility to several image processing and attacks.

关 键 词：数字水印 小波包变换 自适应 神经网络 模糊控制 

分 类 号：TP391[自动化与计算机技术—计算机应用技术]