基于Contourlet变换的图像去噪方法  

Image denoising algorithm based on Contourlet transform

作　　者：杜宝祥[1] 陶新民[1] 

机构地区：[1]哈尔滨工程大学信息与通信工程学院,哈尔滨150001

出　　处：《信息技术》2009年第5期46-47,50,共3页Information Technology

摘　　要：图像去噪是数字图像处理领域的一项重要技术。传统的基于小波变换的去噪方法,去噪效果不是很理想。为了解决这一问题,提出了一种基于Contourlet变换的图像去噪方法。实验结果表明,与传统小波去噪方法相比,该方法不但可以保留图像的边缘信息,而且能提高去噪后图像的信噪比。Image denoising is a very important technology in the digital image processing field. The traditional denoising algorithms based on wavelet transform cannot obtain an enough ideal denoising result. In order to overcome this problem, an image denoising algorithm based on Contourlet transform is presented. The experimental results show that, compared with the traditional and the usual denoising methods, the proposed method can not only keep the marshal information of the images, but increase the SNR of the denoised images.

关 键 词：图像去噪 CONTOURLET变换 小波变换 

分 类 号：TP391[自动化与计算机技术—计算机应用技术]