Random NL-Means to Restoration of Colour Images

D. Borkowski, K. Janczak-Borkowska
{"title":"Random NL-Means to Restoration of Colour Images","authors":"D. Borkowski, K. Janczak-Borkowska","doi":"10.1109/DICTA.2015.7371298","DOIUrl":null,"url":null,"abstract":"In this paper we propose a new method of denoising of colour images. We use non local means algorithm considered on non square searching window which is driven by anisotropic stochastic process. This modification allow us to adapt the idea from famous non local means and anisotropic diffusion approaches. Experimental results show that this new method gives encouraging results and can be successfully applied to denoising of high ISO images.","PeriodicalId":214897,"journal":{"name":"2015 International Conference on Digital Image Computing: Techniques and Applications (DICTA)","volume":"49 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2015-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2015 International Conference on Digital Image Computing: Techniques and Applications (DICTA)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/DICTA.2015.7371298","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0

Abstract

In this paper we propose a new method of denoising of colour images. We use non local means algorithm considered on non square searching window which is driven by anisotropic stochastic process. This modification allow us to adapt the idea from famous non local means and anisotropic diffusion approaches. Experimental results show that this new method gives encouraging results and can be successfully applied to denoising of high ISO images.
查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
彩色图像恢复的随机nl方法
本文提出了一种彩色图像去噪的新方法。在各向异性随机过程驱动的非平方搜索窗口上,采用了考虑非局部均值的算法。这种修正使我们能够采用著名的非局部方法和各向异性扩散方法的思想。实验结果表明,该方法能较好地应用于高ISO图像的去噪。
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 去求助
来源期刊
自引率
0.00%
发文量
0
期刊最新文献
Illumination Compensated Segmentation of Microscopic Images of Activated Sludge Flocs Rotation Invariant Spatial Pyramid Matching for Image Classification Unsupervised Processing of Vehicle Appearance for Automatic Understanding in Traffic Surveillance A New Model for the Segmentation of Multiple, Overlapping, Near-Circular Objects An Analysis of Human Engagement Behaviour Using Descriptors from Human Feedback, Eye Tracking, and Saliency Modelling
×
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
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 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 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1