摘要
提出了一种新的基于小波变换和神经网络的数字水印算法。该算法首先把原始图像分成8×8像素的小块,根据Logistic映射产生的混沌序列选择相应的小块构造一个原始图像的子图,接着把DWT变换作用在这个子图上,得到两个子带LH1和HL1,然后把水印信息嵌入在这两个子带上,接着通过IDWT变换重构子图,最后按构成子图的顺序把每一个8×8像素的小块放回到原图中相应位置,从而得到一个嵌入了水印信息的图像。在水印的提取过程中使用了经典的BP神经网络。实验结果表明,通过该算法嵌入的水印具有较好的鲁棒性、安全性和不可感知性。
A novel digital watermark algorithm based on wavelet transform and neural network was proposed.Firstly,the original image was divided into some small blocks(8×8 pixels).The sub-image consists of some small blocks that are selected throuth logistic map.Two sub-bands LH1 and HL1 were generated by acting DWT on the sub-image.Se-condly,the watermark was embedded into the sub-band's wavelet coefficients.The watermarked sub-image was reconstructed using IDWT.Finally,we put every small block(8×8 pixels) of the watermarked sub-image into the initial position of the original image.Thus,we got the watermarked image.Experiments show that the watermark embedded by this scheme has good robustness,imperceptibility and security.
出处
《计算机科学》
CSCD
北大核心
2011年第6期142-144,共3页
Computer Science
基金
重庆市自然科学基金项目(CSTC
2009BB2378)资助
关键词
数字水印
神经网络
小波变换
混沌
Watermark
Neural network
Wavelet transform
Chaos