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

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作  者:丁俊 刘玛丽 钟擎 李海峰 刘旭 

机构地区:[1]State Key Lab.of Modern Optical Instrumentation,Department of Optical Engineering,Zhejiang University

出  处:《Chinese Optics Letters》2016年第4期24-28,共5页中国光学快报(英文版)

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)

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.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.

关 键 词:ALGORITHMS Liquid crystal displays OPTIMIZATION Signal to noise ratio 

分 类 号:TN873.93[电子电信—信息与通信工程] TP391.41[自动化与计算机技术—计算机应用技术]

 

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