Zhuoran Xi , Yunong Sun , Huafan Zhang , Jianbin Liu , Hui Chen , Yu Zhou , Yuchen He , Huaibin Zheng , KuaiKuai Yu , Zhuo Xu , Yuan Yuan
{"title":"通过 OTF 检索进行无创多光谱散射成像","authors":"Zhuoran Xi , Yunong Sun , Huafan Zhang , Jianbin Liu , Hui Chen , Yu Zhou , Yuchen He , Huaibin Zheng , KuaiKuai Yu , Zhuo Xu , 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":"{\"title\":\"Non-invasive multispectral scattering imaging via OTF retrieval\",\"authors\":\"Zhuoran Xi , Yunong Sun , Huafan Zhang , Jianbin Liu , Hui Chen , Yu Zhou , Yuchen He , Huaibin Zheng , KuaiKuai Yu , Zhuo Xu , 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}","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}
Non-invasive multispectral scattering imaging via OTF retrieval
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.
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