Convolutional symmetric compressed look-up-table method for 360° dynamic color 3D holographic display

Jiahao Wei, Chenxiao Wei, Haowen Ma, Dapu Pi, Haifeng Li, Xu Liu, Yongtian Wang, Juan Liu*

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

3 Citations (Scopus)

Abstract

In this paper, we propose a convolutional symmetric compressed look-up-table (CSC-LUT) method to accelerate computer-generated hologram (CGH) computation based on the Fresnel diffraction theory and LUT. The proposed method can achieve one-time high-quality fast generation of color holograms by utilizing dynamic convolution operation, which is divided three processes. Firstly, the pre-calculated data of maximum horizontal modulation factor is compressed in 1D array by coordinate symmetry. Then, the test object is resampled to satisfy convolutional translation invariance. Finally, the dynamic convolution operation is used to simplify CGH computation process rather than the point-by-point computation. Numerical simulation and optical experimental results show that our proposed method can achieve faster computation speed, higher reconstruction quality and wider application compared to conventional SC-LUT method. The further optimization method for parallel acceleration on the GPU framework can achieve real-time (>24fps) color holographic display corresponding to three perspectives of a 3D scene.

Original languageEnglish
Pages (from-to)28716-28733
Number of pages18
JournalOptics Express
Volume31
Issue number18
DOIs
Publication statusPublished - 28 Aug 2023

Fingerprint

Dive into the research topics of 'Convolutional symmetric compressed look-up-table method for 360° dynamic color 3D holographic display'. Together they form a unique fingerprint.

Cite this