Noise removal on color image sequences using coupled anisotropic diffusions and noise-robust motion detection

P. Bourdon, B. Augereau, C. Olivier, C. Chatellier
{"title":"Noise removal on color image sequences using coupled anisotropic diffusions and noise-robust motion detection","authors":"P. Bourdon, B. Augereau, C. Olivier, C. Chatellier","doi":"10.5281/ZENODO.38251","DOIUrl":null,"url":null,"abstract":"In this paper, we propose a new approach for noise removal on color image sequences, based on coupled spatial and temporal anisotropic diffusions. This approach consists in smoothing a sequence while keeping all discontinuities caused by edges and moving objects. Our approach is based on a low level detection of moving areas in a noisy sequence, in order to associate temporal diffusion to a spatial diffusion process, thus denoising the sequence more efficiently.","PeriodicalId":347658,"journal":{"name":"2004 12th European Signal Processing Conference","volume":"121 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2004-09-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2004 12th European Signal Processing Conference","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.5281/ZENODO.38251","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 2

Abstract

In this paper, we propose a new approach for noise removal on color image sequences, based on coupled spatial and temporal anisotropic diffusions. This approach consists in smoothing a sequence while keeping all discontinuities caused by edges and moving objects. Our approach is based on a low level detection of moving areas in a noisy sequence, in order to associate temporal diffusion to a spatial diffusion process, thus denoising the sequence more efficiently.
基于耦合各向异性扩散和噪声鲁棒运动检测的彩色图像序列去噪
本文提出了一种基于时空各向异性耦合扩散的彩色图像序列去噪方法。这种方法包括平滑序列,同时保持所有由边缘和移动物体引起的不连续。我们的方法是基于对噪声序列中运动区域的低水平检测,以便将时间扩散与空间扩散过程相关联,从而更有效地去噪序列。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 求助全文
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:604180095
Book学术官方微信