单像素成像中的压缩采样优化

IF 0.6 4区物理与天体物理 Q4 PHYSICS, MULTIDISCIPLINARY Bulletin of the Lebedev Physics Institute Pub Date : 2024-08-05 DOI:10.3103/S1068335624600463

D. V. Sych

{"title":"单像素成像中的压缩采样优化","authors":"D. V. Sych","doi":"10.3103/S1068335624600463","DOIUrl":null,"url":null,"abstract":"<p>Compressed sampling allows to accurately reconstruct a sparse signal even in case of incomplete signal measurements. In this paper, we apply this method to single-pixel imaging and explore the possibilities of image reconstruction by sampling it with an incomplete set of binary light patterns. Using computer simulation, we optimize the image sampling process and find parameters of light patterns such that single-pixel imaging works best.</p>","PeriodicalId":503,"journal":{"name":"Bulletin of the Lebedev Physics Institute","volume":"51 6","pages":"202 - 205"},"PeriodicalIF":0.6000,"publicationDate":"2024-08-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Optimization of Compressed Sampling in Single-Pixel Imaging\",\"authors\":\"D. V. Sych\",\"doi\":\"10.3103/S1068335624600463\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p>Compressed sampling allows to accurately reconstruct a sparse signal even in case of incomplete signal measurements. In this paper, we apply this method to single-pixel imaging and explore the possibilities of image reconstruction by sampling it with an incomplete set of binary light patterns. Using computer simulation, we optimize the image sampling process and find parameters of light patterns such that single-pixel imaging works best.</p>\",\"PeriodicalId\":503,\"journal\":{\"name\":\"Bulletin of the Lebedev Physics Institute\",\"volume\":\"51 6\",\"pages\":\"202 - 205\"},\"PeriodicalIF\":0.6000,\"publicationDate\":\"2024-08-05\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Bulletin of the Lebedev Physics Institute\",\"FirstCategoryId\":\"101\",\"ListUrlMain\":\"https://link.springer.com/article/10.3103/S1068335624600463\",\"RegionNum\":4,\"RegionCategory\":\"物理与天体物理\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q4\",\"JCRName\":\"PHYSICS, MULTIDISCIPLINARY\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Bulletin of the Lebedev Physics Institute","FirstCategoryId":"101","ListUrlMain":"https://link.springer.com/article/10.3103/S1068335624600463","RegionNum":4,"RegionCategory":"物理与天体物理","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q4","JCRName":"PHYSICS, MULTIDISCIPLINARY","Score":null,"Total":0}

引用次数: 0

摘要

摘要压缩采样可以在信号测量不完整的情况下准确重建稀疏信号。在本文中，我们将这种方法应用于单像素成像，并探索了用一组不完整的二进制光模式采样重建图像的可能性。通过计算机模拟，我们优化了图像采样过程，并找到了使单像素成像效果最佳的光模式参数。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

摘要图片

查看原文

微信好友朋友圈 QQ好友复制链接

本刊更多论文

Optimization of Compressed Sampling in Single-Pixel Imaging

Compressed sampling allows to accurately reconstruct a sparse signal even in case of incomplete signal measurements. In this paper, we apply this method to single-pixel imaging and explore the possibilities of image reconstruction by sampling it with an incomplete set of binary light patterns. Using computer simulation, we optimize the image sampling process and find parameters of light patterns such that single-pixel imaging works best.

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

Bulletin of the Lebedev Physics Institute PHYSICS, MULTIDISCIPLINARY-

CiteScore

0.70

自引率

25.00%

发文量

审稿时长

6-12 weeks

期刊介绍： Bulletin of the Lebedev Physics Institute is an international peer reviewed journal that publishes results of new original experimental and theoretical studies on all topics of physics: theoretical physics; atomic and molecular physics; nuclear physics; optics; lasers; condensed matter; physics of solids; biophysics, and others.