Optimization algorithm of near-eye light field displays based on human visual characteristics
Optimization algorithm of near-eye light field displays based on human visual characteristics作者机构:State Key Lab.of Modern Optical InstrumentationDepartment of Optical EngineeringZhejiang University
出 版 物:《Chinese Optics Letters》 (中国光学快报(英文版))
年 卷 期:2016年第14卷第4期
页 面:24-28页
核心收录:
学科分类:0810[工学-信息与通信工程] 08[工学] 080203[工学-机械设计及理论] 081001[工学-通信与信息系统] 0802[工学-机械工程]
基 金:supported by the National Natural Science Foundation of China(No.61177015) the National 973 Program of China(No.2013CB328802) the National 863 Program of China(No.2015AA015904)
主 题:Algorithms Liquid crystal displays Optimization Signal to noise ratio
摘 要:The number of layers and the resolution of liquid crystal displays (LCDs) limit the reconstruction fidelity of near- eye light field displays based on multilayer LCDs. Because the eye's resolution capability is different for central vision and peripheral vision, the fidelity can be improved by setting different weights for different areas. First we employ the eye's modulation transfer function (MTF) to acquire the limiting resolution angle. Then, due to the inverse relationship between the limiting angle and the weight values, the weighted function related to retinal eccentricity is calculated. In combination with the linear least-squares algorithm, the peak signal-to-noise ratio (PSNR) of the reconstructed scene is raised. The simulation results indicate that the weighted optimization algorithm can improve the image fidelity and reconstruction accuracy.