Deep Deconvolution of Object information Transformed by a Lens

Shivasubramanian Gopinath; P. A. Praveen; Francis Gracy Arockiaraj; 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; Vijayakumar Anand

doi:10.1117/12.2648269

Deep Deconvolution of Object information Transformed by a Lens

Shivasubramanian Gopinath
, P. A. Praveen
, Francis Gracy Arockiaraj
, 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
, Vijayakumar Anand

Institute of Astronomy

University of Tartu
Swinburne University of Technology

Research output: Chapter in Book/Report/Conference proceeding › Conference paper › Research › peer-review

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.

Original language	English
Title of host publication	AI and Optical Data Sciences IV
Editors	Bahram Jalali, Ken-ichi Kitayama
DOIs	https://doi.org/10.1117/12.2648269
Publication status	Published - 2023

Publication series

Name	Proceedings of SPIE - The International Society for Optical Engineering
Volume	12438
ISSN (Print)	0277-786X
ISSN (Electronic)	1996-756X

Keywords

3D imaging
computational imaging
deblurring
deconvolution
holography
imaging
incoherent optics
Lucy-Richardson-Rosen algorithm
refractive lens

OECD Field of Science

1.3 Physical Sciences

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10.1117/12.2648269

Cite this

Gopinath, S., Praveen, P. A., Arockiaraj, F. G., Smith, D., Kahro, T., Valdma, S. M., Bleahu, A., Ng, S. H., Reddy, A. N. K., Katkus, T., Rajeswary, A. S. J. F., Ganeev, R. A., Pikker, S., Kukli, K., Tamm, A., Juodkazis, S., & Anand, V. (2023). Deep Deconvolution of Object information Transformed by a Lens. In B. Jalali, & K. Kitayama (Eds.), AI and Optical Data Sciences IV Article 1243818 (Proceedings of SPIE - The International Society for Optical Engineering; Vol. 12438). https://doi.org/10.1117/12.2648269

@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",

}

Gopinath, S, Praveen, PA, Arockiaraj, FG, Smith, D, Kahro, T, Valdma, SM, Bleahu, A, Ng, SH, Reddy, ANK, Katkus, T, Rajeswary, ASJF, Ganeev, RA, Pikker, S, Kukli, K, Tamm, A, Juodkazis, S & Anand, V 2023, Deep Deconvolution of Object information Transformed by a Lens. in B Jalali & K Kitayama (eds), AI and Optical Data Sciences IV., 1243818, Proceedings of SPIE - The International Society for Optical Engineering, vol. 12438. https://doi.org/10.1117/12.2648269

Deep Deconvolution of Object information Transformed by a Lens. / Gopinath, Shivasubramanian; Praveen, P. A.; Arockiaraj, Francis Gracy et al.
AI and Optical Data Sciences IV. ed. / Bahram Jalali; Ken-ichi Kitayama. 2023. 1243818 (Proceedings of SPIE - The International Society for Optical Engineering; Vol. 12438).

Research output: Chapter in Book/Report/Conference proceeding › Conference paper › Research › peer-review

TY - GEN

T1 - Deep Deconvolution of Object information Transformed by a Lens

AU - Gopinath, Shivasubramanian

AU - Praveen, P. A.

AU - Arockiaraj, Francis Gracy

AU - Smith, Daniel

AU - Kahro, Tauno

AU - Valdma, Sandhra Mirella

AU - Bleahu, Andrei

AU - Ng, Soon Hock

AU - Reddy, Andra Naresh Kumar

AU - Katkus, Tomas

AU - Rajeswary, Aravind Simon John Francis

AU - Ganeev, Rashid A.

AU - Pikker, Siim

AU - Kukli, Kaupo

AU - Tamm, Aile

AU - Juodkazis, Saulius

AU - Anand, Vijayakumar

PY - 2023

Y1 - 2023

N2 - 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.

AB - 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.

KW - 3D imaging

KW - computational imaging

KW - deblurring

KW - deconvolution

KW - holography

KW - imaging

KW - incoherent optics

KW - Lucy-Richardson-Rosen algorithm

KW - refractive lens

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U2 - 10.1117/12.2648269

DO - 10.1117/12.2648269

M3 - Conference paper

SN - 978-151065981-0

T3 - Proceedings of SPIE - The International Society for Optical Engineering

BT - AI and Optical Data Sciences IV

A2 - Jalali, Bahram

A2 - Kitayama, Ken-ichi

ER -

Deep Deconvolution of Object information Transformed by a Lens

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Keywords

OECD Field of Science

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