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Nonlinear Reconstruction of Images from Patterns Generated by Deterministic or Random Optical Masks—Concepts and Review of Research

Daniel SmithOptical Sciences Center and ARC Training Centre in Surface Engineering for Advanced Materials (SEAM), School of Science, Computing and Engineering Technologies, Optical Sciences Center, Swinburne University of Technology, Hawthorn, Melbourne, VIC 3122, AustraliaShivasubramanian GopinathPG & Research Department of Physics, Thiagarajar College, Madurai 625009, IndiaFrancis Gracy ArockiarajPG & Research Department of Physics, The American College, Madurai 625009, IndiaAndra Naresh Kumar ReddyHee Photonic Labs, LV-1002 Riga, LatviaVinoth BalasubramaniDivision of Biological and Environmental Sciences and Engineering, King Abdullah University of Science and Technology, Thuwal 23955-6900, Saudi ArabiaRavi KumarSchool of Electrical and Computer Engineering, Ben-Gurion University of the Negev, Beer-Sheva 8410501, IsraelNitin DubeySchool of Electrical and Computer Engineering, Ben-Gurion University of the Negev, Beer-Sheva 8410501, IsraelSoon Hock NgOptical Sciences Center and ARC Training Centre in Surface Engineering for Advanced Materials (SEAM), School of Science, Computing and Engineering Technologies, Optical Sciences Center, Swinburne University of Technology, Hawthorn, Melbourne, VIC 3122, AustraliaTomas KatkusOptical Sciences Center and ARC Training Centre in Surface Engineering for Advanced Materials (SEAM), School of Science, Computing and Engineering Technologies, Optical Sciences Center, Swinburne University of Technology, Hawthorn, Melbourne, VIC 3122, AustraliaShakina Jothi SelvaPG & Research Department of Physics, The American College, Madurai 625009, IndiaDhanalakshmi RenganathanPG & Research Department of Physics, Thiagarajar College, Madurai 625009, IndiaManueldoss Beaula Ruby KamalamPG & Research Department of Physics, The American College, Madurai 625009, IndiaAravind Simon John Francis RajeswaryInstitute of Physics, University of Tartu, W. Ostwaldi 1, 50411 Tartu, EstoniaSrinivasan NavaneethakrishnanPG & Research Department of Physics, Thiagarajar College, Madurai 625009, IndiaS.S.R. InbanathanPG & Research Department of Physics, The American College, Madurai 625009, IndiaSandhra-Mirella ValdmaInstitute of Physics, University of Tartu, W. Ostwaldi 1, 50411 Tartu, EstoniaP. PraveenInstitute of Physics, University of Tartu, W. Ostwaldi 1, 50411 Tartu, EstoniaJ. AmudhavelInstitute of Physics, University of Tartu, W. Ostwaldi 1, 50411 Tartu, EstoniaManoj KumarInstitute of Physics, University of Tartu, W. Ostwaldi 1, 50411 Tartu, EstoniaR. A. GaneevLaboratory of Nonlinear Optics, University of Latvia, Jelgavas 3, LV-1004 Riga, LatviaPierre J. MagistrettiDivision of Biological and Environmental Sciences and Engineering, King Abdullah University of Science and Technology, Thuwal 23955-6900, Saudi ArabiaChristian DepeursingeDivision of Biological and Environmental Sciences and Engineering, King Abdullah University of Science and Technology, Thuwal 23955-6900, Saudi ArabiaSaulius JuodkazisOptical Sciences Center and ARC Training Centre in Surface Engineering for Advanced Materials (SEAM), School of Science, Computing and Engineering Technologies, Optical Sciences Center, Swinburne University of Technology, Hawthorn, Melbourne, VIC 3122, AustraliaJoseph RosenSchool of Electrical and Computer Engineering, Ben-Gurion University of the Negev, Beer-Sheva 8410501, IsraelVijayakumar AnandInstitute of Physics, University of Tartu, W. Ostwaldi 1, 50411 Tartu, Estonia
Journal of Imagingjournal2022en
ABI

Аннотация

Indirect-imaging methods involve at least two steps, namely optical recording and computational reconstruction. The optical-recording process uses an optical modulator that transforms the light from the object into a typical intensity distribution. This distribution is numerically processed to reconstruct the object's image corresponding to different spatial and spectral dimensions. There have been numerous optical-modulation functions and reconstruction methods developed in the past few years for different applications. In most cases, a compatible pair of the optical-modulation function and reconstruction method gives optimal performance. A new reconstruction method, termed nonlinear reconstruction (NLR), was developed in 2017 to reconstruct the object image in the case of optical-scattering modulators. Over the years, it has been revealed that the NLR can reconstruct an object's image modulated by an axicons, bifocal lenses and even exotic spiral diffractive elements, which generate deterministic optical fields. Apparently, NLR seems to be a universal reconstruction method for indirect imaging. In this review, the performance of NLR isinvestigated for many deterministic and stochastic optical fields. Simulation and experimental results for different cases are presented and discussed.

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