[1]王敏,王洪剑,孙光英,等. 基于NLM的图像三维去噪算法[J].红外技术,2013,35(04):238-241.
 WANG Min,WANG Hong-jian,SUN Guang-ying,et al. Three-dimensional Image Denoising Algorithm Based on Non-local Means[J].Infrared Technology,2013,35(04):238-241.
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 基于NLM的图像三维去噪算法
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《红外技术》[ISSN:1001-8891/CN:CN 53-1053/TN]

卷:
35卷
期数:
2013年04期
页码:
238-241
栏目:
出版日期:
2013-04-20

文章信息/Info

Title:
 Three-dimensional Image Denoising Algorithm Based on Non-local Means
文章编号:
1001-8891(2013)04-0238-04
作者:
 王敏1王洪剑2孙光英1郭建华1吴海琼1吕励1朱洪洋1
 1.昆明物理研究所;
2.上海通途半导体科技有限公司
Author(s):
 WANG MinWANG Hong-jianSUN Guang-yingGUO Jian-huaWU Hai-qiongLYU LiZHU Hong-yang
 1. Kumming Institute of Physics;
2. Shanghai Tongtu Semiconductor Technology Co. LTD
关键词:
 非局部平均NLM结构相似度图像三维去噪
Keywords:
 non-Local Meansstructure similarityimage three-dimensional denosing
分类号:
TN219
文献标志码:
A
摘要:
 

图像去噪要求在尽量保留有用信息完整性的基础上去除干扰信息,同时保证去噪结果的时域稳定性。在非局部平均NLM(Non-Local Means)算法的基础上提出了更加合理的图像三维去噪算法。该算法首先进行NLM空域去噪,然后再对空域去噪的结果进行加权平均的时域去噪。实验结果表明,本算法和传统去噪算法相比具有去噪结果稳定并不模糊细节的优点,为实际工程应用提供了技术支撑。

Abstract:
 

Image denoising removes noise based on keeping useful information as much as possible besides ensuring the

stability in time domain of denoising results. This paper presents a more reasonable image three-dimensional denoising algorithm based on the NLM. At First, the NLM is used to remove spatial noise; then, the weighted mean algorithm is used to process the results to remove the noise in time domain. The experimental results show that such algorithm has the advantages of denoising stably without blurring image details compared with the traditional noise reduction algorithms. It also provides a strong technical support for engineering application.

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备注/Memo

备注/Memo:
 收稿日期:2013-01-05;修订日期:2013-03-10.
作者简介:王敏(1969-),女,硕士研究生,研究方向:红外图像处理电路设计。
更新日期/Last Update: 2013-05-08