一种有效的双树复小波-Wiener滤波去噪算法  

An efficient dual-tree complex wavelet-wiener denoising algorithm

作　　者：魏培[1] 全子一[1] 门爱东[1] 

机构地区：[1]北京邮电大学电信工程学院,北京100876

出　　处：《电路与系统学报》2009年第5期109-111,116,共4页Journal of Circuits and Systems

基　　金：国家自然科学基金项目(60672087)

摘　　要：为了有效恢复被高斯白噪声污染的图像,将双树复小波变换和自适应Wiener滤波结合起来,提出了一种双树复小波-Wiener滤波去噪算法。仿真结果表明,利用该算法去噪后恢复的图像主观质量和峰值信噪比比基于正交小波变换的门限法和Wiener滤波法都要好。In order to eliminate the Gauss white noise in the image, the dual-tree complex wavelet transform was combined with the adaptive Wiener filtering and formed the dual-tree complex wavelet - Wiener denoising algorithm. Simulation results show that this new algorithm yields better results, both visually and in terms of PSNR, than thresholding and Wiener filtering based on DWT.

关 键 词：双树复小波变换 小波去噪 WIENER滤波器 图像处理 

分 类 号：TP391.41[自动化与计算机技术—计算机应用技术]