Deep deconvolution of object information transformed by a lens
Shivasubramanian GopinathUniv. of Tartu (Estonia)Praveen Periyasamy AngamuthuUniv. of Tartu (Estonia)Francis Gracy ArokiarajThe American College (India)Daniel SmithSwinburne Univ. of Technology (Australia)Tauno KahroUniv. of Tartu (Estonia)Sandhra-Mirella ValdmaUniv. of Tartu (Estonia)Andrei BleahuUniv. of Tartu (Estonia)Soon Hock NgSwinburne Univ. of Technology (Australia)Andra Naresh Kumar ReddyUniv. of Latvia (Latvia)Tomas KatkusSwinburne Univ. of Technology (Australia)Aravind Simon John Francis RajeswaryUniv. of Tartu (Estonia)R. A. GaneevNational Research Univ. (Uzbekistan)Siim PikkerUniv. of Tartu (Estonia)Kaupo KukliUniv. of Tartu (Estonia)Aile TammUniv. of Tartu (Estonia)Saulius JuodkazisSwinburne Univ. of Technology (Australia)Vijayakumar AnandSwinburne Univ. of Technology (Australia)
2023en
ABI
Abstract
A computational imaging technique using a lens and Lucy-Richardson-Rosen algorithm (LRRA) has been developed for 3D imaging. A deep 3D point spread function (PSF) was recorded in the first step. A single camera shot of an object was recorded next. Using the 3D PSF and the LRRA, the complete 3D information of the object was reconstructed. In this configuration, direct imaging and indirect imaging concepts co-exist: when the imaging condition is satisfied, an image of the object is directly obtained and in other cases it is indirectly obtained. The proposed single lens incoherent digital holography system will be attractive for numerous imaging applications.
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