Accelerating computation of CCGH using convolutional symmetric compressed LUT method in 360° dynamic color 3D holographic display

Abstract

we propose a convolutional symmetric compressed look-up-table (CSC-LUT) method to accelerate CCGH computation and further optimize it for GPU parallel framework. Numerical simulation and optical experimental results show that our proposed method can achieve real-time (>24fps) color holographic display corresponding to three perspectives of a 3D scene.