Image Magnification through Non-local Edge Directed Interpolation

Jianhong Li, Ze Li, Xiaonan Luo
{"title":"Image Magnification through Non-local Edge Directed Interpolation","authors":"Jianhong Li, Ze Li, Xiaonan Luo","doi":"10.1109/ICDH.2012.65","DOIUrl":null,"url":null,"abstract":"In this paper, we present a non-local edge directed interpolation method to magnify single frame image. The basic idea is to first extract the edge features and geometric features of image patches and use these feature matrices to match with the image patches to be interpolated employing the SSIM algorithm. Then taking advantage of the geometric duality between the low-resolution covariance and the high-resolution covariance to obtain the optimization coefficients and exploit multiple linear regression model (MLR) to reconstruct the image patch. The new algorithm can preserve the edge features and natural appearance of images efficiently. Simulation results demonstrate that our new interpolation algorithm substantially improves the subjective and objective quality.","PeriodicalId":308799,"journal":{"name":"2012 Fourth International Conference on Digital Home","volume":"32 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2012-11-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"3","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2012 Fourth International Conference on Digital Home","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICDH.2012.65","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

In this paper, we present a non-local edge directed interpolation method to magnify single frame image. The basic idea is to first extract the edge features and geometric features of image patches and use these feature matrices to match with the image patches to be interpolated employing the SSIM algorithm. Then taking advantage of the geometric duality between the low-resolution covariance and the high-resolution covariance to obtain the optimization coefficients and exploit multiple linear regression model (MLR) to reconstruct the image patch. The new algorithm can preserve the edge features and natural appearance of images efficiently. Simulation results demonstrate that our new interpolation algorithm substantially improves the subjective and objective quality.
通过非局部边缘定向插值的图像放大
本文提出了一种放大单帧图像的非局部边缘定向插值方法。其基本思想是首先提取图像斑块的边缘特征和几何特征,并利用这些特征矩阵与使用SSIM算法插值的图像斑块进行匹配。然后利用低分辨率协方差和高分辨率协方差之间的几何对偶性获得优化系数,利用多元线性回归模型(MLR)重构图像patch。该算法能有效地保留图像的边缘特征和自然外观。仿真结果表明,新的插值算法大大提高了图像的主客观质量。
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