Advancing computer-generated holographic display thanks to diffraction model-driven deep nets
Advancements are reported in computer-generated holography proofing RGB 4K display through a new strategy based on diffraction model-driven deep networks. In the new 4K-DMDNet, the network is not a “black box” anymore. Rather, the input-output relation must obey to the physics of wavefront propagati...
Main Authors: | , |
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Format: | Article |
Language: | English |
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Institue of Optics and Electronics, Chinese Academy of Sciences
2024-01-01
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Series: | Opto-Electronic Advances |
Online Access: | https://www.oejournal.org/article/doi/10.29026/oea.2024.230176 |
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author | Vittorio Bianco Pietro Ferraro |
author_facet | Vittorio Bianco Pietro Ferraro |
author_sort | Vittorio Bianco |
collection | DOAJ |
description | Advancements are reported in computer-generated holography proofing RGB 4K display through a new strategy based on diffraction model-driven deep networks. In the new 4K-DMDNet, the network is not a “black box” anymore. Rather, the input-output relation must obey to the physics of wavefront propagation, which is embedded here as a constraint. Thus, a labelled dataset is not required, and the model shows superior generalization capabilities with respect to data-driven approaches. The method is promising for the new generation of RGB 4K holographic display, as well as augmented and virtual reality systems. |
first_indexed | 2024-04-25T00:04:47Z |
format | Article |
id | doaj.art-64ed640f0e424a259e30d09e8bfe1659 |
institution | Directory Open Access Journal |
issn | 2096-4579 |
language | English |
last_indexed | 2024-04-25T00:04:47Z |
publishDate | 2024-01-01 |
publisher | Institue of Optics and Electronics, Chinese Academy of Sciences |
record_format | Article |
series | Opto-Electronic Advances |
spelling | doaj.art-64ed640f0e424a259e30d09e8bfe16592024-03-14T06:14:23ZengInstitue of Optics and Electronics, Chinese Academy of SciencesOpto-Electronic Advances2096-45792024-01-01711310.29026/oea.2024.230176OEA-2023-0176PietroAdvancing computer-generated holographic display thanks to diffraction model-driven deep netsVittorio Bianco0Pietro Ferraro1CNR- ISASI Institute of Applied Sciences Intelligent Systems Viale Campi Flegrei, 34 80078 Pozzuoli (Na), ItalyCNR- ISASI Institute of Applied Sciences Intelligent Systems Viale Campi Flegrei, 34 80078 Pozzuoli (Na), ItalyAdvancements are reported in computer-generated holography proofing RGB 4K display through a new strategy based on diffraction model-driven deep networks. In the new 4K-DMDNet, the network is not a “black box” anymore. Rather, the input-output relation must obey to the physics of wavefront propagation, which is embedded here as a constraint. Thus, a labelled dataset is not required, and the model shows superior generalization capabilities with respect to data-driven approaches. The method is promising for the new generation of RGB 4K holographic display, as well as augmented and virtual reality systems.https://www.oejournal.org/article/doi/10.29026/oea.2024.230176 |
spellingShingle | Vittorio Bianco Pietro Ferraro Advancing computer-generated holographic display thanks to diffraction model-driven deep nets Opto-Electronic Advances |
title | Advancing computer-generated holographic display thanks to diffraction model-driven deep nets |
title_full | Advancing computer-generated holographic display thanks to diffraction model-driven deep nets |
title_fullStr | Advancing computer-generated holographic display thanks to diffraction model-driven deep nets |
title_full_unstemmed | Advancing computer-generated holographic display thanks to diffraction model-driven deep nets |
title_short | Advancing computer-generated holographic display thanks to diffraction model-driven deep nets |
title_sort | advancing computer generated holographic display thanks to diffraction model driven deep nets |
url | https://www.oejournal.org/article/doi/10.29026/oea.2024.230176 |
work_keys_str_mv | AT vittoriobianco advancingcomputergeneratedholographicdisplaythankstodiffractionmodeldrivendeepnets AT pietroferraro advancingcomputergeneratedholographicdisplaythankstodiffractionmodeldrivendeepnets |