Machine learning accelerated holographic near-eye display system based on three-step diffraction

Chentianfei Shen; Tong Shen; Qi Chen; Jihong Zheng

doi:10.1117/12.2607088

24 November 2021 Machine learning accelerated holographic near-eye display system based on three-step diffraction

Chentianfei Shen, Tong Shen, Qi Chen, Jihong Zheng

Proceedings Volume 12066, AOPC 2021: Micro-optics and MOEMS; 120661K (2021) https://doi.org/10.1117/12.2607088
Event: Applied Optics and Photonics China 2021, 2021, Beijing, China

Abstract

Holographic displays enable the formation of a three-dimensional particle field distribution and is promised to be one solution of the key problems in present virtual and augmented reality displays. The biggest challenge in the computer-generated holography (CGH) is the high consuming calculation time and the restricted field of view due to the micro display screen. In order to solve the above mentioned problems, we propose a method for machine learning accelerated lensless holographic projection, which is based on the reconstruction of complex amplitude image from phase-only CGH. The runtime of generating the phase-only CGH is half of traditional iterative method. The complex amplitude image can achieve the maximum diffraction bandwidth of the spatial light modulator (SLM). The feasibility of this method is verified by experiments.

Citation Download Citation

Chentianfei Shen, Tong Shen, Qi Chen, and Jihong Zheng "Machine learning accelerated holographic near-eye display system based on three-step diffraction", Proc. SPIE 12066, AOPC 2021: Micro-optics and MOEMS, 120661K (24 November 2021); https://doi.org/10.1117/12.2607088

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KEYWORDS

Holography

Computer generated holography

Holograms

Spatial light modulators

Diffraction

Machine learning

3D image reconstruction

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