Computational Imaging Using Deterministic Optical Fields and Non-linear Reconstruction

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dc.contributor.authorArockiaraj, Francis Gracy
dc.contributor.authorSelva, Shakina Jothi
dc.contributor.authorInbanathan, Stephen Rajkumar
dc.contributor.authorKamalam, Manueldoss Beaula Ruby
dc.contributor.authorRajeswary, Aravind Simon John Francis
dc.contributor.authorAnand, Vijayakumar
dc.contributor.authorRosen, Joseph
dc.date.accessioned2024-03-28T10:32:23Z
dc.date.available2024-03-28T10:32:23Z
dc.date.issued2022
dc.description.abstractComputational imaging techniques are indirect ones consisting of two steps: optical recording and computational reconstruction. In this study, deterministic optical fields such as Bessel, Airy, Gaussian and Laguerre-Gaussian were studied in this indirect imaging framework.
dc.identifier.urihttps://doi.org/10.1364/3D.2022.3Th4A.5
dc.identifier.urihttps://hdl.handle.net/10062/97424
dc.language.isoen
dc.publisherImaging and Applied Optics Congress 2022 (3D, AOA, COSI, ISA, pcAOP)
dc.relationinfo:eu-repo/grantAgreement/EC/H2020/857627///CIPHR
dc.rightsAttribution-NonCommercial-NoDerivatives 4.0 International
dc.rights.urihttps://creativecommons.org/licenses/by-nc-nd/4.0/
dc.titleComputational Imaging Using Deterministic Optical Fields and Non-linear Reconstruction
dc.typeinfo:eu-repo/semantics/articleen

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CIPHR - ERA Chair for Computational Imaging and Processing in High Resolution