An adaptive fuzzy median filtering algorithm for salt and pepper noise removal(一种去除椒盐噪声的自适应模糊中值滤波算法)
针对传统中值滤波算法降噪性能不佳以及易造成图像细节模糊的问题，提出了一种自适应模糊中值滤波算法。滤波过程分为噪声检测和噪声去除2 个阶段。噪声检测阶段：采用极值法检测噪声，将图像的像素点分为两类，即疑似噪声点和信号点。通过疑似像素点和与其相邻的已处理的像素点的平均绝对灰度差值定义模糊隶属度函数，利用该函数对疑似噪声点是否为噪声进行模糊分类。噪声去除阶段：信号点保持原值输出，对于疑似噪声点的3 种分类结果，采用模糊加权的中值滤波器进行统一处理。实验结果表明，较于多种传统滤波方法，该算法能更有效地去除椒盐噪声，保护图像细节。...
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| Format: | Article |
| Language: | zho |
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Zhejiang University Press
2019-07-01
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| Series: | Zhejiang Daxue xuebao. Lixue ban |
| Subjects: | |
| Online Access: | https://doi.org/10.3785/j.issn.1008-9497.2019.04.010 |
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| author | WANFengfeng(万丰丰) ZHOUGuomin(周国民) ZHOUXiao(周晓) |
| author_facet | WANFengfeng(万丰丰) ZHOUGuomin(周国民) ZHOUXiao(周晓) |
| author_sort | WANFengfeng(万丰丰) |
| collection | DOAJ |
| description | 针对传统中值滤波算法降噪性能不佳以及易造成图像细节模糊的问题，提出了一种自适应模糊中值滤波算法。滤波过程分为噪声检测和噪声去除2 个阶段。噪声检测阶段：采用极值法检测噪声，将图像的像素点分为两类，即疑似噪声点和信号点。通过疑似像素点和与其相邻的已处理的像素点的平均绝对灰度差值定义模糊隶属度函数，利用该函数对疑似噪声点是否为噪声进行模糊分类。噪声去除阶段：信号点保持原值输出，对于疑似噪声点的3 种分类结果，采用模糊加权的中值滤波器进行统一处理。实验结果表明，较于多种传统滤波方法，该算法能更有效地去除椒盐噪声，保护图像细节。 |
| first_indexed | 2024-04-24T16:51:40Z |
| format | Article |
| id | doaj.art-4ad115fce7ce49f08cf24ed6fd2b3202 |
| institution | Directory Open Access Journal |
| issn | 1008-9497 |
| language | zho |
| last_indexed | 2024-04-24T16:51:40Z |
| publishDate | 2019-07-01 |
| publisher | Zhejiang University Press |
| record_format | Article |
| series | Zhejiang Daxue xuebao. Lixue ban |
| spelling | doaj.art-4ad115fce7ce49f08cf24ed6fd2b32022024-03-29T01:58:39ZzhoZhejiang University PressZhejiang Daxue xuebao. Lixue ban1008-94972019-07-0146444545310.3785/j.issn.1008-9497.2019.04.010An adaptive fuzzy median filtering algorithm for salt and pepper noise removal(一种去除椒盐噪声的自适应模糊中值滤波算法)WANFengfeng(万丰丰)0https://orcid.org/0000-0001-7239-7893ZHOUGuomin(周国民)1https://orcid.org/0000-0002-9997-3472ZHOUXiao(周晓)2 1.College of Information Engineering, Zhejiang University of Technology, Hangzhou 310023, China( 1.浙江工业大学 信息工程学院，浙江 杭州 310023) 2.Zhejiang Police College, Hangzhou 310053, China( 2.浙江警察学院，浙江 杭州 310053) 1.College of Information Engineering, Zhejiang University of Technology, Hangzhou 310023, China( 1.浙江工业大学 信息工程学院，浙江 杭州 310023)针对传统中值滤波算法降噪性能不佳以及易造成图像细节模糊的问题，提出了一种自适应模糊中值滤波算法。滤波过程分为噪声检测和噪声去除2 个阶段。噪声检测阶段：采用极值法检测噪声，将图像的像素点分为两类，即疑似噪声点和信号点。通过疑似像素点和与其相邻的已处理的像素点的平均绝对灰度差值定义模糊隶属度函数，利用该函数对疑似噪声点是否为噪声进行模糊分类。噪声去除阶段：信号点保持原值输出，对于疑似噪声点的3 种分类结果，采用模糊加权的中值滤波器进行统一处理。实验结果表明，较于多种传统滤波方法，该算法能更有效地去除椒盐噪声，保护图像细节。https://doi.org/10.3785/j.issn.1008-9497.2019.04.010椒盐噪声图像降噪中值滤波自适应模糊中值滤波 |
| spellingShingle | WANFengfeng(万丰丰) ZHOUGuomin(周国民) ZHOUXiao(周晓) An adaptive fuzzy median filtering algorithm for salt and pepper noise removal(一种去除椒盐噪声的自适应模糊中值滤波算法) Zhejiang Daxue xuebao. Lixue ban 椒盐噪声 图像降噪 中值滤波 自适应模糊中值滤波 |
| title | An adaptive fuzzy median filtering algorithm for salt and pepper noise removal(一种去除椒盐噪声的自适应模糊中值滤波算法) |
| title_full | An adaptive fuzzy median filtering algorithm for salt and pepper noise removal(一种去除椒盐噪声的自适应模糊中值滤波算法) |
| title_fullStr | An adaptive fuzzy median filtering algorithm for salt and pepper noise removal(一种去除椒盐噪声的自适应模糊中值滤波算法) |
| title_full_unstemmed | An adaptive fuzzy median filtering algorithm for salt and pepper noise removal(一种去除椒盐噪声的自适应模糊中值滤波算法) |
| title_short | An adaptive fuzzy median filtering algorithm for salt and pepper noise removal(一种去除椒盐噪声的自适应模糊中值滤波算法) |
| title_sort | adaptive fuzzy median filtering algorithm for salt and pepper noise removal 一种去除椒盐噪声的自适应模糊中值滤波算法 |
| topic | 椒盐噪声 图像降噪 中值滤波 自适应模糊中值滤波 |
| url | https://doi.org/10.3785/j.issn.1008-9497.2019.04.010 |
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