Mr. Yixin Zhang Profile

Yixin Zhang

at Tsinghua University

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Proceedings Article | 20 December 2022 Presentation

Progress of the computer-generated holography based on deep learning

Yixin Zhang, Kexuan Liu, Liangcai Cao

Proceedings Volume 12318, 123180B (2022) https://doi.org/10.1117/12.2642154

KEYWORDS: Computer generated holography, Neural networks, Holography, Gallium nitride, Explosives

Read Abstract +

Deep learning networks are widely used for optical problems solving in recent years. With the explosive developments of deep learning, learning-based computer-generated holography (CGH) has become an effective way to achieve real-time high-quality holographic display. Various learning-based methods have been proposed to accelerate the computation and improve the reconstruction quality. Deep neural networks (DNNs) have a great influence on the research of holography for their high quality and high computing speed. We focus on the rapid progress on DNN-based CGH in recent years and give our introduction to the principles of CGH as well as the structure of the deep neural networks frequently used in CGH, including U-Net, ResNet and GAN, etc. We introduce the developments of the learning-based CGH and express the expectation of the prospect.

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