基于改进非局部均值滤波的图像去噪

Nidhi Choudhary, A. Singh, Siddharth Srivastava
{"title":"基于改进非局部均值滤波的图像去噪","authors":"Nidhi Choudhary, A. Singh, Siddharth Srivastava","doi":"10.46610/joede.2020.v06i02.003","DOIUrl":null,"url":null,"abstract":"Local filters used for denoising images do not account for nonlinear structure within the image, where similarities can be shared between spatially distant pixels which are overcome by nonlocal filters by allowing for the use of self-predictions . In this method, an improved version of nonlocal denoising filtering has been presented using quaternion non coupled means filter. The proposed method has been applied to various noisy images and shows good results in terms of performance characteristics.","PeriodicalId":138877,"journal":{"name":"Electronic Design Engineering","volume":"80 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2020-07-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Image Denoising using Improved Non-Local Means Filter\",\"authors\":\"Nidhi Choudhary, A. Singh, Siddharth Srivastava\",\"doi\":\"10.46610/joede.2020.v06i02.003\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Local filters used for denoising images do not account for nonlinear structure within the image, where similarities can be shared between spatially distant pixels which are overcome by nonlocal filters by allowing for the use of self-predictions . In this method, an improved version of nonlocal denoising filtering has been presented using quaternion non coupled means filter. The proposed method has been applied to various noisy images and shows good results in terms of performance characteristics.\",\"PeriodicalId\":138877,\"journal\":{\"name\":\"Electronic Design Engineering\",\"volume\":\"80 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2020-07-24\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Electronic Design Engineering\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.46610/joede.2020.v06i02.003\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Electronic Design Engineering","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.46610/joede.2020.v06i02.003","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0

摘要

用于去噪图像的局部滤波器不考虑图像内的非线性结构,其中相似性可以在空间距离较远的像素之间共享,通过允许使用自预测,非局部滤波器可以克服这些相似性。在此方法中,提出了一种改进的非局部去噪滤波方法,采用四元数非耦合均值滤波。该方法已应用于各种噪声图像,在性能特征方面取得了良好的效果。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Image Denoising using Improved Non-Local Means Filter
Local filters used for denoising images do not account for nonlinear structure within the image, where similarities can be shared between spatially distant pixels which are overcome by nonlocal filters by allowing for the use of self-predictions . In this method, an improved version of nonlocal denoising filtering has been presented using quaternion non coupled means filter. The proposed method has been applied to various noisy images and shows good results in terms of performance characteristics.
求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
来源期刊
自引率
0.00%
发文量
0
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术官方微信