轴向扫描几何超分辨成像仪

A. Borkowski, E. Marom, Z. Zalevsky
{"title":"轴向扫描几何超分辨成像仪","authors":"A. Borkowski, E. Marom, Z. Zalevsky","doi":"10.1109/WIO.2014.6933283","DOIUrl":null,"url":null,"abstract":"We propose a new geometric super resolving approach that overcomes the geometric resolution reduction caused due to the spatially large pixels of the detection array while the improvement process is obtained by applying axial scanning and a phase retrieving procedure. In the scanning process, several images are captures corresponding to focus made on different axial plains. By applying iterative Gerchberg-Saxton based algorithm we manage to retrieve the spatial phase distribution of the optical wavefront and to reconstruct the originally geometrically high resolution image from the captured set of low resolution images.","PeriodicalId":183646,"journal":{"name":"2014 13th Workshop on Information Optics (WIO)","volume":"31 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2014-07-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Axial scanning geometric super resolved imager\",\"authors\":\"A. Borkowski, E. Marom, Z. Zalevsky\",\"doi\":\"10.1109/WIO.2014.6933283\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"We propose a new geometric super resolving approach that overcomes the geometric resolution reduction caused due to the spatially large pixels of the detection array while the improvement process is obtained by applying axial scanning and a phase retrieving procedure. In the scanning process, several images are captures corresponding to focus made on different axial plains. By applying iterative Gerchberg-Saxton based algorithm we manage to retrieve the spatial phase distribution of the optical wavefront and to reconstruct the originally geometrically high resolution image from the captured set of low resolution images.\",\"PeriodicalId\":183646,\"journal\":{\"name\":\"2014 13th Workshop on Information Optics (WIO)\",\"volume\":\"31 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2014-07-07\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2014 13th Workshop on Information Optics (WIO)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/WIO.2014.6933283\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2014 13th Workshop on Information Optics (WIO)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/WIO.2014.6933283","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0

摘要

我们提出了一种新的几何超分辨方法,克服了由于探测阵列空间像素大而导致的几何分辨率降低,而改进过程是通过轴向扫描和相位检索过程获得的。在扫描过程中,在不同的轴向平面上对焦点捕获若干图像。利用基于Gerchberg-Saxton的迭代算法检索光波前的空间相位分布,并从捕获的低分辨率图像集中重建出原始几何高分辨率图像。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Axial scanning geometric super resolved imager
We propose a new geometric super resolving approach that overcomes the geometric resolution reduction caused due to the spatially large pixels of the detection array while the improvement process is obtained by applying axial scanning and a phase retrieving procedure. In the scanning process, several images are captures corresponding to focus made on different axial plains. By applying iterative Gerchberg-Saxton based algorithm we manage to retrieve the spatial phase distribution of the optical wavefront and to reconstruct the originally geometrically high resolution image from the captured set of low resolution images.
求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
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:481959085
Book学术官方微信