Single Shot Multispectral Multidimensional Computational Imaging Using Quasi-Random Lenses

Daniel Smith; Shivasubramanian Gopinath; Soon Hock Ng; Tomas Katkus; Dhanalakshmi Renganathan; Srinivasan Navaneethakrishnan; Saulius Juodkazis; Saulius Juodkazis; Vijayakumar Anand; Vijayakumar Anand

doi:10.1364/3D.2022.JW2A.16

Imaging and Applied Optics Congress 2022 (3D, AOA, COSI, ISA, pcAOP)
Technical Digest Series (Optica Publishing Group, 2022),
paper JW2A.16
•https://doi.org/10.1364/3D.2022.JW2A.16

Single Shot Multispectral Multidimensional Computational Imaging Using Quasi-Random Lenses

Daniel Smith, Shivasubramanian Gopinath, Soon Hock Ng, Tomas Katkus, Dhanalakshmi Renganathan, Srinivasan Navaneethakrishnan, Saulius Juodkazis, and Vijayakumar Anand

3D Image Acquisition and Display: Technology, Perception and Applications 2022

Vancouver, British Columbia Canada
11–15 July 2022
ISBN: 978-1-957171-09-8

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Joint Poster Session II (Remote) (JW2A)

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D. Smith, S. Gopinath, S. H. Ng, T. Katkus, D. Renganathan, S. Navaneethakrishnan, S. Juodkazis, and V. Anand, "Single Shot Multispectral Multidimensional Computational Imaging Using Quasi-Random Lenses," in Imaging and Applied Optics Congress 2022 (3D, AOA, COSI, ISA, pcAOP), Technical Digest Series (Optica Publishing Group, 2022), paper JW2A.16.

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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.

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