Local Criteria : A Unified Approach to Locally Adaptive Linear and Rank Filters

L. Yaroslavsky
{"title":"Local Criteria : A Unified Approach to Locally Adaptive Linear and Rank Filters","authors":"L. Yaroslavsky","doi":"10.1364/srs.1989.thb4","DOIUrl":null,"url":null,"abstract":"During the last several years a lot of new linear and nonlinear rank algorithms for signal and picture processing have been proposed [1-13]. The linear ones have been derived from one or another statistical model of the signal to be processed. The rank ones have been substantiated from different positions and without any rather general notion of optimality. The aim of this paper is to introduce a new family of criteria of processing quality as a basis for unified approach to synthesis of optimal linear and rank filters for signal and picture processing.","PeriodicalId":193110,"journal":{"name":"Signal Recovery and Synthesis III","volume":"31 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"3","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Signal Recovery and Synthesis III","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1364/srs.1989.thb4","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 3

Abstract

During the last several years a lot of new linear and nonlinear rank algorithms for signal and picture processing have been proposed [1-13]. The linear ones have been derived from one or another statistical model of the signal to be processed. The rank ones have been substantiated from different positions and without any rather general notion of optimality. The aim of this paper is to introduce a new family of criteria of processing quality as a basis for unified approach to synthesis of optimal linear and rank filters for signal and picture processing.
局部准则:一种局部自适应线性和秩滤波器的统一方法
在过去的几年里,人们提出了许多新的用于信号和图像处理的线性和非线性秩算法[1-13]。线性是由待处理信号的一个或另一个统计模型推导出来的。排名是由不同的立场证实的,没有任何一般的最优性概念。本文的目的是介绍一组新的处理质量准则,作为信号和图像处理中最优线性滤波器和秩滤波器合成的统一方法的基础。
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