摘要
文章采用了一种基于离散小波(DWT)多分辨率分解的数字水印技术,研究了水印算法,将图像进行三级小波分解,产生三个高频带系列子图和一个低频带子图。由于人眼对高频信息的敏感度低于对低频信息的敏感度,因此,采用了把水印嵌入到小波图像中的高频系数中。通过MATLAB仿真实验实现了将水印信息嵌入到原始图像中的技术,再对含水印图像加椒盐噪声、高斯低通滤波和缩小50%再放大200%进行攻击以及JPEG压缩实验仿真,结果表明所提算法具有很好的视觉效果和鲁棒性。
This article use the discrete wavelet （DWT） multi-resolution decomposition of digital watermarking technology, study watermarking algorithm, Three-level wavelet decomposition of the image, generate three series of high frequency band sub-graph and a low-frequency band sub-graph. As the human eyes are sensitivity to high frequency information lower than low-frequency information, therefore, the watermark is embedded to high frequency coefficient C of the wavelet images. Achieved the technology that embed watermark in original image by MATLAB simulation, and do the experiment of salt-pepper noise added, Gauss low-pass filter and amplifying 200% after narrowing 50%. Experiment results show the above algorithm has great vision effect and robustness.
出处
《科技广场》
2011年第7期49-52,共4页
Science Mosaic
关键词
图像
数字水印
离散小波变化
鲁棒性
Image
Digital Watermarking
Discrete Wavelet Transform
Robustness
