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 …
framework for the reconstruction of a holographic image and a phase recovery method with …
GAN-Holo: Generative Adversarial Networks-Based Generated Holography Using Deep Learning
A Khan, Z Zhijiang, Y Yu, MA Khan, K Yan, K Aziz… - …, 2021 - econpapers.repec.org
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 …
framework for the reconstruction of a holographic image and a phase recovery method with …
GAN-Holo: Generative Adversarial Networks-Based Generated Holography Using Deep Learning.
A Khan, Z Zhijiang, Y Yu, MA Khan, K Yan… - …, 2021 - search.ebscohost.com
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 …
framework for the reconstruction of a holographic image and a phase recovery method with …
GAN-Holo: Generative Adversarial Networks-Based Generated Holography Using Deep Learning
A Khan, Z Zhijiang, Y Yu, MA Khan, K Yan, K Aziz - 2021 - philpapers.org
Current development in a deep neural network has given an opportunity to a novel
framework for the reconstruction of a holographic image and a phase recovery method with …
framework for the reconstruction of a holographic image and a phase recovery method with …
[HTML][HTML] GAN-Holo:: Generative Adversarial Networks-Based Generated Holography Using Deep Learning
A Khan, Z Zhijiang, Y Yu, MA Khan, K Yan, K Aziz - Complexity, 2021 - dl.acm.org
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 …
framework for the reconstruction of a holographic image and a phase recovery method with …
GAN-Holo: Generative Adversarial Networks-Based Generated Holography Using Deep Learning
A Khan, Z Zhijiang, Y Yu, MA Khan, K Yan, K Aziz… - Complexity, 2021 - ideas.repec.org
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 …
framework for the reconstruction of a holographic image and a phase recovery method with …
GAN-Holo: Generative Adversarial Networks-Based Generated Holography Using Deep Learning
A Khan, Z Zhang, Y Yu, MA Khan, K Yan, K Aziz - Complexity, 2021 - search.proquest.com
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 …
framework for the reconstruction of a holographic image and a phase recovery method with …
[PDF][PDF] GAN-Holo: Generative Adversarial Networks-Based Generated Holography Using Deep Learning
A Khan, Z Zhijiang, Y Yu, MA Khan, K Yan, K Aziz - 2021 - pdfs.semanticscholar.org
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 …
framework for the reconstruction of a holographic image and a phase recovery method with …
GAN-Holo: Generative Adversarial Networks-Based Generated Holography Using Deep Learning.
A Khan, Z Zhijiang, Y Yu, MA Khan, K Yan… - …, 2021 - search.ebscohost.com
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 …
framework for the reconstruction of a holographic image and a phase recovery method with …