Single Shot Multispectral Multidimensional Computational Imaging Using Quasi-Random Lenses
dc.contributor.author | Smith, Daniel | |
dc.contributor.author | Gopinath, Shivasubramanian | |
dc.contributor.author | Hock Ng, Soon | |
dc.contributor.author | Katkus, Tomas | |
dc.contributor.author | Renganathan, Dhanalakshmi | |
dc.contributor.author | Navaneethakrishnan, Srinivasan | |
dc.contributor.author | Juodkazis, Saulius | |
dc.contributor.author | Anand, Vijayakumar | |
dc.date.accessioned | 2024-03-28T10:25:20Z | |
dc.date.available | 2024-03-28T10:25:20Z | |
dc.date.issued | 2022 | |
dc.description.abstract | Quasi-random lenses (QRLs) were fabricated using electron beam lithography and conventional lens grinding to map every object point to a unique random intensity distribution. Multidimensional and multispectral computational imaging has been demonstrated using the QRLs. | |
dc.identifier.uri | https://doi.org/10.1364/3D.2022.JW2A.16 | |
dc.identifier.uri | https://hdl.handle.net/10062/97423 | |
dc.language.iso | en | |
dc.publisher | Imaging and Applied Optics Congress 2022 (3D, AOA, COSI, ISA, pcAOP) | |
dc.relation | info:eu-repo/grantAgreement/EC/H2020/857627///CIPHR | |
dc.rights | Attribution-NonCommercial-NoDerivatives 4.0 International | |
dc.rights.uri | https://creativecommons.org/licenses/by-nc-nd/4.0/ | |
dc.title | Single Shot Multispectral Multidimensional Computational Imaging Using Quasi-Random Lenses | |
dc.type | info:eu-repo/semantics/article | en |
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