Affiliation:
1. Sichuan University
2. Seoul National University
Abstract
The spherical holography is a promising technology to realize a true three-dimensional (3D) display. Compared to plane holography and cylindrical holography, it has an unlimited field of view, which can be observed from all perspectives. However, so far, the reconstructed images from computer-generated spherical holograms (CGSHs) are not of high quality, especially phase-only holograms, which will seriously affect its application. In this paper, an optimization algorithm for a CGSH based on stochastic gradient descent (SGD) is proposed to improve the quality of the reconstructed image. First, a new, to the best of our knowledge, diffraction model used in the process of optimization is proposed by considering the obliquity factor and occlusion culling. Based on our proposed diffraction model, the optimization process includes diffracting the initial random phase to another sphere, calculating the loss between the reconstructed image and the original image, and optimizing the initial phase through the SGD optimization algorithm. Both the correctness of the proposed diffraction model and the effectiveness of the SGD optimization for spherical holograms are verified well by numerical simulations. Through SGD, a high-quality reconstructed image can be achieved, which is 18 dB higher in the PSNR than that of spherical self-diffraction iteration. Meaningfully, our method has broad application prospects in 3D and omnidirectional displays. The SGD optimization algorithm is brought into the CGSH, and remarkable results have been achieved.
Funder
National Natural Science Foundation of China
Chengdu Science and Technology Program
Subject
Atomic and Molecular Physics, and Optics,Engineering (miscellaneous),Electrical and Electronic Engineering
Cited by
3 articles.
订阅此论文施引文献
订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献