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基于平稳小波域的各向异性扩散图像去噪方法
引用本文:汪伟,吴秀清,程蕾,夏东坤.基于平稳小波域的各向异性扩散图像去噪方法[J].计算机工程与应用,2010,46(4):180-182.
作者姓名:汪伟  吴秀清  程蕾  夏东坤
作者单位:中国科学技术大学 电子工程与信息科学系,合肥 230027
摘    要:针对传统的各向异性扩散去噪方法存在的导致图像细节丢失的问题,提出了一种基于平稳小波域的各向异性扩散图像去噪方法。该方法根据平稳小波变换的特性,通过在高频和低频子带上选用不同的梯度门限进行各向异性扩散,然后进行重构得到去噪后的结果图像。实验结果表明,该方法在有效去除噪声的同时,图像细节保留较好,去噪后的图像具有更好的质量。

关 键 词:各向异性扩散  平稳小波变换  图像去噪  
收稿时间:2008-7-31
修稿时间:2008-10-29  

Image denoising based on stationary wavelet-based anisotropic diffusion
WANG Wei,WU Xiu-qing,CHENG Lei,XIA Dong-kun.Image denoising based on stationary wavelet-based anisotropic diffusion[J].Computer Engineering and Applications,2010,46(4):180-182.
Authors:WANG Wei  WU Xiu-qing  CHENG Lei  XIA Dong-kun
Affiliation:Department of Electronic Engineering and Information Science,University of Science and Technology of China,Hefei 230027,China
Abstract:Aiming at the detail losing problem caused by traditional space-based anisotropic diffusion,a new method of stationary wavelet-based anisotropic diffusion is purposed.Based on the character of stationary wavelet transform,anisotropic diffusion is applied in different sub-bands with different gradient threshold.Denoised image is reconstructed by diffused sub -bands.The experiment results show that this method is able to achieve a good effect in noise removal and detail preservation.
Keywords:anisotropic diffusion  stationary wavelet transform  image denoising
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