Year
Month
(Peer-Reviewed) Advancing computer-generated holographic display thanks to diffraction model-driven deep nets
Vittorio Bianco, Pietro Ferraro
CNR- ISASI Institute of Applied Sciences & Intelligent Systems Viale Campi Flegrei, 34 80078 Pozzuoli (Na) Italy
Opto-Electronic Advances, 2024-01-16
Abstract

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.
Advancing computer-generated holographic display thanks to diffraction model-driven deep nets_1
Advancing computer-generated holographic display thanks to diffraction model-driven deep nets_2
Advancing computer-generated holographic display thanks to diffraction model-driven deep nets_3
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  • Deblurring, artifact-free optical coherence tomography with deconvolution-random phase modulation                                Dynamic interactive bitwise meta-holography with ultra-high computational and display frame rates
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