Super-resolution image restoration by combining incremental wiener filter and space-adaptive regularization

Ju Liu, Hua Yan, Jiande Sun, Daozhen Li
{"title":"Super-resolution image restoration by combining incremental wiener filter and space-adaptive regularization","authors":"Ju Liu, Hua Yan, Jiande Sun, Daozhen Li","doi":"10.1109/ICNNSP.2003.1281037","DOIUrl":null,"url":null,"abstract":"Space-adaptive regularization (SAR) is a method for image restoration and it can decrease ring artifacts arising around sharp intensity transition of the image. The approach proposed in this paper incorporates incremental wiener filter (IWF) with SAR by edge-picking method and then estimates a single high-resolution image from different low-resolution images. The characters of spatial piecewise smoothness in SAR and rapid convergence in incremental wiener filter are combined in the new approach. The computer simulations show that this method has good convergence performance.","PeriodicalId":336216,"journal":{"name":"International Conference on Neural Networks and Signal Processing, 2003. Proceedings of the 2003","volume":"2 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"International Conference on Neural Networks and Signal Processing, 2003. Proceedings of the 2003","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICNNSP.2003.1281037","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

Space-adaptive regularization (SAR) is a method for image restoration and it can decrease ring artifacts arising around sharp intensity transition of the image. The approach proposed in this paper incorporates incremental wiener filter (IWF) with SAR by edge-picking method and then estimates a single high-resolution image from different low-resolution images. The characters of spatial piecewise smoothness in SAR and rapid convergence in incremental wiener filter are combined in the new approach. The computer simulations show that this method has good convergence performance.
增量维纳滤波与空间自适应正则化相结合的超分辨率图像恢复
空间自适应正则化(SAR)是一种用于图像恢复的方法,它可以减少图像剧烈强度转移周围产生的环状伪影。本文提出的方法将增量维纳滤波器(IWF)与SAR结合,采用边缘提取方法,从不同的低分辨率图像中估计出一张高分辨率图像。该方法结合了SAR的空间分段平滑性和增量维纳滤波的快速收敛性。计算机仿真结果表明,该方法具有良好的收敛性能。
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