摘要
In the integral imaging light field display, the introduction of a diffractive optical element (DOE) can solve the problem of limited depth of field of the traditional lens. However, the strong aberration of the DOE significantly reduces the final display quality. Thus, herein, an end-to-end joint optimization method for optimizing DOE and aberration correction is proposed. The DOE model is established using thickness as the variable, and a deep learning network is built to preprocess the composite image loaded on the display panel. The simulation results show that the peak signal to noise ratio value of the optimized image increases by 8 dB, which confirms that the end-to-end joint optimization method can effectively reduce the aberration problem.
作者
裴翔宇
于迅博
高鑫
谢馨慧
王越笛
桑新柱
颜玢玢
Xiangyu Pei;Xunbo Yu;Xin Gao;Xinhui Xie;Yuedi Wang;Xinzhu Sang;Binbin Yan(State Key Laboratory of Information Photonics and Optical Communications,Beijing University of Posts and Telecommunications,Beijing 100876,China)
基金
supported by the National Natural Science Foundation of China(Nos.62175015,61905019,and 62075016)
Fundamental Research Funds for the Central Universities(No.2021RC13)。