@inproceedings{64e460d20daa4b859eb568f5c0080064,
title = "Deep Deconvolution of Object information Transformed by a Lens",
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.",
keywords = "3D imaging, computational imaging, deblurring, deconvolution, holography, imaging, incoherent optics, Lucy-Richardson-Rosen algorithm, refractive lens",
author = "Shivasubramanian Gopinath and Praveen, \{P. A.\} and Arockiaraj, \{Francis Gracy\} and Daniel Smith and Tauno Kahro and Valdma, \{Sandhra Mirella\} and Andrei Bleahu and Ng, \{Soon Hock\} and Reddy, \{Andra Naresh Kumar\} and Tomas Katkus and Rajeswary, \{Aravind Simon John Francis\} and Ganeev, \{Rashid A.\} and Siim Pikker and Kaupo Kukli and Aile Tamm and Saulius Juodkazis and Vijayakumar Anand",
note = "Publisher Copyright: {\textcopyright} 2023 SPIE.",
year = "2023",
doi = "10.1117/12.2648269",
language = "English",
isbn = "978-151065981-0",
series = "Proceedings of SPIE - The International Society for Optical Engineering",
editor = "Bahram Jalali and Ken-ichi Kitayama",
booktitle = "AI and Optical Data Sciences IV",
}