RM L-Filters in Wavelet Domain for Image Processing Applications

J.L. Varela-Benitez, F. Gallegos-Funes, V. Ponomaryov, J.M. de la Rosa Vazquez
{"title":"RM L-Filters in Wavelet Domain for Image Processing Applications","authors":"J.L. Varela-Benitez, F. Gallegos-Funes, V. Ponomaryov, J.M. de la Rosa Vazquez","doi":"10.1109/MICAI.2007.22","DOIUrl":null,"url":null,"abstract":"In this paper we present the capability features of the RM L-filter in the wavelet domain for the removal of impulsive and multiplicative noise in image processing applications. The proposed filter uses the robust RM-estimator in the filtering scheme of L-filter. Extensive simulation results have demonstrated that the proposed filter consistently outperforms other filters by balancing the tradeoff between noise suppression and detail preservation.","PeriodicalId":296192,"journal":{"name":"2007 Sixth Mexican International Conference on Artificial Intelligence, Special Session (MICAI)","volume":"87 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2007-11-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2007 Sixth Mexican International Conference on Artificial Intelligence, Special Session (MICAI)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/MICAI.2007.22","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 1

Abstract

In this paper we present the capability features of the RM L-filter in the wavelet domain for the removal of impulsive and multiplicative noise in image processing applications. The proposed filter uses the robust RM-estimator in the filtering scheme of L-filter. Extensive simulation results have demonstrated that the proposed filter consistently outperforms other filters by balancing the tradeoff between noise suppression and detail preservation.
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
小波域RM - l滤波器在图像处理中的应用
本文给出了小波域RM - l滤波器在图像处理应用中去除脉冲和乘性噪声的能力特征。该滤波器在l -滤波器的滤波方案中使用了鲁棒rm估计量。大量的仿真结果表明,通过平衡噪声抑制和细节保留之间的权衡,所提出的滤波器始终优于其他滤波器。
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
Machine Learning Tools to Time Series Forecasting Algorithm for Affective Pattern Recognition by Means of Use of First Initial Momentum Uncertain Reasoning in Multi-agent Ontology Mapping on the Semantic Web Segmentation and Extraction of Morphologic Features from Capillary Images An Intelligent Agent Using a Q-Learning Method to Allocate Replicated Data in a Distributed Database
×
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