GAN-Holo: Generative Adversarial Networks-Based Generated Holography Using Deep Learning
Current development in a deep neural network (DNN) has given an opportunity to a novel framework for the reconstruction of a holographic image and a phase recovery method with real-time performance. There are many deep learning-based techniques that have been proposed for the holographic image recon...
Main Authors: | , , , , , |
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Format: | Article |
Language: | English |
Published: |
Hindawi-Wiley
2021-01-01
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Series: | Complexity |
Online Access: | http://dx.doi.org/10.1155/2021/6662161 |