Poster + Paper
15 March 2023 Deep deconvolution of object information transformed by a lens
Author Affiliations +
Proceedings Volume 12438, AI and Optical Data Sciences IV; 1243818 (2023) https://doi.org/10.1117/12.2648269
Event: SPIE OPTO, 2023, San Francisco, California, United States
Conference Poster
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.
© (2023) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Shivasubramanian Gopinath, P.A. Praveen, Francis Gracy Arokiaraj, Daniel Smith, Tauno Kahro, Sandhra-Mirella Valdma, Andrei Bleahu, Soon Hock Ng, Andra Naresh Kumar Reddy, Tomas Katkus, Aravind Simon John Francis Rajeswary, Rashid A. Ganeev, Siim Pikker, Kaupo Kukli, Aile Tamm, Saulius Juodkazis, and Vijayakumar Anand "Deep deconvolution of object information transformed by a lens", Proc. SPIE 12438, AI and Optical Data Sciences IV, 1243818 (15 March 2023); https://doi.org/10.1117/12.2648269
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KEYWORDS
Point spread functions

Image restoration

Reconstruction algorithms

Algorithm development

Imaging systems

Deconvolution

Quantum 3D imaging

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