Non-invasive multispectral scattering imaging via OTF retrieval

IF 3.5 2区 工程技术 Q2 OPTICS
Zhuoran Xi , Yunong Sun , Huafan Zhang , Jianbin Liu , Hui Chen , Yu Zhou , Yuchen He , Huaibin Zheng , KuaiKuai Yu , Zhuo Xu , Yuan Yuan
{"title":"Non-invasive multispectral scattering imaging via OTF retrieval","authors":"Zhuoran Xi ,&nbsp;Yunong Sun ,&nbsp;Huafan Zhang ,&nbsp;Jianbin Liu ,&nbsp;Hui Chen ,&nbsp;Yu Zhou ,&nbsp;Yuchen He ,&nbsp;Huaibin Zheng ,&nbsp;KuaiKuai Yu ,&nbsp;Zhuo Xu ,&nbsp;Yuan Yuan","doi":"10.1016/j.optlaseng.2024.108635","DOIUrl":null,"url":null,"abstract":"<div><div>Spectral imaging can obtain spatial and spectral information of an object and play an important role in many application scenarios. Computational spectral imaging through scattering media utilizes the spectrally sensitive properties of scattering media as a filter for spectral imaging. The spatial and spectral information are reconstructed simultaneously by deconvolution with point spread function (PSF). Invasive spectral imaging imposes stringent constraints on the measurement accuracy of PSF and application scenarios. Here, we demonstrate a non-invasive multispectral scattering imaging method via optical transfer function (OTF) retrieval. The method uses multi-frame speckles to non-invasively retrieve the OTF of imaging system. Similar to the spectral filter property of PSF in the space domain, OTF at different wavelengths can be employed to filter and reconstruct the multispectral information of mixed speckle in the frequency domain. Our method overcomes the need for invasive measurements and is applicable to a wide range of scenarios for static and dynamic objects, providing a new approach to multispectral imaging.</div></div>","PeriodicalId":49719,"journal":{"name":"Optics and Lasers in Engineering","volume":"184 ","pages":"Article 108635"},"PeriodicalIF":3.5000,"publicationDate":"2024-10-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Optics and Lasers in Engineering","FirstCategoryId":"5","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S0143816624006134","RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"OPTICS","Score":null,"Total":0}
引用次数: 0

Abstract

Spectral imaging can obtain spatial and spectral information of an object and play an important role in many application scenarios. Computational spectral imaging through scattering media utilizes the spectrally sensitive properties of scattering media as a filter for spectral imaging. The spatial and spectral information are reconstructed simultaneously by deconvolution with point spread function (PSF). Invasive spectral imaging imposes stringent constraints on the measurement accuracy of PSF and application scenarios. Here, we demonstrate a non-invasive multispectral scattering imaging method via optical transfer function (OTF) retrieval. The method uses multi-frame speckles to non-invasively retrieve the OTF of imaging system. Similar to the spectral filter property of PSF in the space domain, OTF at different wavelengths can be employed to filter and reconstruct the multispectral information of mixed speckle in the frequency domain. Our method overcomes the need for invasive measurements and is applicable to a wide range of scenarios for static and dynamic objects, providing a new approach to multispectral imaging.
通过 OTF 检索进行无创多光谱散射成像
光谱成像可以获得物体的空间和光谱信息,在许多应用场景中发挥着重要作用。通过散射介质进行计算光谱成像是利用散射介质的光谱敏感特性作为光谱成像的滤波器。空间和光谱信息通过点扩散函数(PSF)解卷积同时重建。侵入式光谱成像对 PSF 的测量精度和应用场景有严格的限制。在此,我们展示了一种通过光学传递函数(OTF)检索的非侵入式多光谱散射成像方法。该方法利用多帧斑点无创检索成像系统的 OTF。与空间域中 PSF 的光谱滤波特性类似,不同波长的 OTF 可用于滤波和重建频域中混合斑点的多光谱信息。我们的方法克服了侵入式测量的需要,适用于静态和动态物体的各种情况,为多光谱成像提供了一种新方法。
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
Optics and Lasers in Engineering
Optics and Lasers in Engineering 工程技术-光学
CiteScore
8.90
自引率
8.70%
发文量
384
审稿时长
42 days
期刊介绍: Optics and Lasers in Engineering aims at providing an international forum for the interchange of information on the development of optical techniques and laser technology in engineering. Emphasis is placed on contributions targeted at the practical use of methods and devices, the development and enhancement of solutions and new theoretical concepts for experimental methods. Optics and Lasers in Engineering reflects the main areas in which optical methods are being used and developed for an engineering environment. Manuscripts should offer clear evidence of novelty and significance. Papers focusing on parameter optimization or computational issues are not suitable. Similarly, papers focussed on an application rather than the optical method fall outside the journal''s scope. The scope of the journal is defined to include the following: -Optical Metrology- Optical Methods for 3D visualization and virtual engineering- Optical Techniques for Microsystems- Imaging, Microscopy and Adaptive Optics- Computational Imaging- Laser methods in manufacturing- Integrated optical and photonic sensors- Optics and Photonics in Life Science- Hyperspectral and spectroscopic methods- Infrared and Terahertz techniques
×
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