Multiplane Optimizing Phase Holograms Using Advanced Machine Learning Algorithms and GPU Acceleration

Multiplane Optimizing Phase Holograms Using Advanced Machine Learning Algorithms and GPU Acceleration

Phase holography is a critical optical imaging and information processing technique with applications ranging from microscopy to optical communications. However, optimizing phase hologram generation remains a significant challenge due to the non-convex nature of the optimization problem. This paper...

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Bibliographic Details
Main Authors: Luz Hernández-Felipe, José Humberto Arroyo-Nuñez, César Camacho-Bello, Iván Rivas-Cambero
Format: Article
Language:English
Published: MDPI AG 2024-11-01
Series:Optics
Subjects:
phase holography
multiplane optimization
machine learning
GPU acceleration
angular spectrum method
RMSprop
Online Access:https://www.mdpi.com/2673-3269/5/4/41
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