Correlation plenoptic tomography

B. Stoklasa; Z. Hradil; M. Paúr; J. Řeháček; M. D’Angelo; M. D’Angelo; F.V. Pepe; F.V. Pepe; F. Di Lena; A. Scagliola

doi:10.1364/COSI.2021.CW4H.4

OSA Imaging and Applied Optics Congress 2021 (3D, COSI, DH, ISA, pcAOP)
OSA Technical Digest (Optica Publishing Group, 2021),
paper CW4H.4
•https://doi.org/10.1364/COSI.2021.CW4H.4

Correlation plenoptic tomography

B. Stoklasa, Z. Hradil, M. Paúr, J. Řeháček, M. D’Angelo, F.V. Pepe, F. Di Lena, and A. Scagliola

Computational Optical Sensing and Imaging 2021

Washington, DC United States
19–23 July 2021
ISBN: 978-1-943580-89-7

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Architectures for Optical Imaging II (CW4H)

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B. Stoklasa, Z. Hradil, M. Paúr, J. Řeháček, M. D’Angelo, F. V. Pepe, F. Di Lena, and A. Scagliola, "Correlation plenoptic tomography," in OSA Imaging and Applied Optics Congress 2021 (3D, COSI, DH, ISA, pcAOP), H. Hua, B. Javidi, M. Martinez-Corral, O. Matoba, A. Stern, S. Thibault, T. Alieva, J. Ke, F. Willomitzer, F. Okten, P. Silveira, P. Banerjee, E. Stoykova, D. Chu, J. Park, F. Imai, C. Joo, M. Digman, D. Gardner, S. Gladysz, D. LeMaster, S. Basu, and O. Korotkova, eds., OSA Technical Digest (Optica Publishing Group, 2021), paper CW4H.4.

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Abstract

We proposed a novel tomography approach to the correlation plenoptic imaging of objects described by a distribution of the absorption coefficients. Using the maximum-likelihood absorption tomography we overcome classical plenoptic refocusing algorithm avoiding reconstruction artifacts.

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