Accelerated generation of holograms with ultra-low memory symmetrically high-compressed look-up table

doi:10.1088/1674-1056/ad1e67

Abstract Computer-generated holography technology has been widely applied, and as research in this field deepens, the demand for memory and computational power in small AR and VR devices continues to increase. This paper presents a hologram generation method, i.e., a symmetrically high-compressed look-up table method, which can reduce memory usage by 50%. In offline computing, half of the basic horizontal and vertical modulation factors are stored, halving the memory requirements without affecting inline speed. Currently, its potential extends to various holographic applications, including the production of optical diffraction elements.

Keywords: computergenerated hologram look-up table holography

Received: 07 November 2023
Revised: 11 January 2024
Accepted manuscript online: 15 January 2024

PACS:	42.40.Jv	(Computer-generated holograms)
	42.40.-i	(Holography)

Fund: Project supported by the National Natural Science Foundation of China (Grant No. 62205350), the Special Project of Central Government Guiding Local Science and Technology Development in Beijing 2020 (Grant No. Z20111000430000), and the Guangxi Nanning Key R&D Program (Grant No. 20233067).

Corresponding Authors: Yong Bi
E-mail: biyong@mail.ipc.ac.cn

Cite this article:

Yan Yang(杨燕), Jianying Zhu(朱建英), Minyuan Sun(孙敏远), and Yong Bi(毕勇) Accelerated generation of holograms with ultra-low memory symmetrically high-compressed look-up table 2024 Chin. Phys. B 33 044201

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Accelerated generation of holograms with ultra-low memory symmetrically high-compressed look-up table

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