Image denoising based on stationary wavelet-based anisotropic diffusion

doi:10.3778/j.issn.1002-8331.2010.04.057

Computer Engineering and Applications ›› 2010, Vol. 46 ›› Issue (4): 180-182.DOI: 10.3778/j.issn.1002-8331.2010.04.057

• 图形、图像、模式识别 • Previous Articles Next Articles

Image denoising based on stationary wavelet-based anisotropic diffusion

WANG Wei，WU Xiu-qing，CHENG Lei，XIA Dong-kun

Department of Electronic Engineering and Information Science，University of Science and Technology of China，Hefei 230027，China

Received:2008-07-31 Revised:2008-10-29 Online:2010-02-01 Published:2010-02-01
Contact: WANG Wei

基于平稳小波域的各向异性扩散图像去噪方法

汪伟，吴秀清，程蕾，夏东坤

中国科学技术大学电子工程与信息科学系，合肥 230027

通讯作者: 汪伟

Abstract

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.

Key words: anisotropic diffusion, stationary wavelet transform, image denoising

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

CLC Number:

TP391.41

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.

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.

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Image denoising based on stationary wavelet-based anisotropic diffusion

基于平稳小波域的各向异性扩散图像去噪方法

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