小波变换和偏微分方程在图像去噪中的应用  

Application of partial differential equations and wavelet transform on image noise removal based on

作　　者：吕洪亮[1] 吴红丹[1] 德淑敏[1] 

机构地区：[1]中国农业大学信息与电气工程学院,北京100083

出　　处：《农业网络信息》2008年第12期40-42,共3页Agriculture Network Information

基　　金：国家高技术研究发展计划(863计划)资助项目(2006AA10Z235)

摘　　要：应用小波分析方法和偏微分方程方法进行图像处理是一个重要课题。小波变换去除图像噪声时虽然能保持图像的细节信息,但是图像的边缘信息被平滑了。使用偏微分方程对图像去噪,并与使用小波变换去除图像噪声后效果进行比较,实验结果表明:使用偏微分方程对图像去噪在平滑噪声的同时可以使边缘得到保持,应用偏微分方程进行图像去噪是一种有效的工具。It is one of the important research fields to apply the methods of wavelet analysis and partial differential equations in image processing.By means of wavelet transform,the image detail information can be preservedwbile image noise being removed, but image edge information can also been smoothed. Partial differential equation was adopted to remove image noise, and the image noise removaleffects were then compared with that of wavelet transform. The experimental results showthat image noise removal by PDEs model can smooth noise and preserve edge. Image noiseremoval by PDEs model is an effective tool.

关 键 词：小波变换 偏微分方程 图像去噪 

分 类 号：TP317.4[自动化与计算机技术—计算机软件与理论]