典型文献
End-to-end optimization of a diffractive optical element and aberration correction for integral imaging
文献摘要：
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.
文献关键词：
中图分类号：
作者姓名：
Xiangyu Pei;Xunbo Yu;Xin Gao;Xinhui Xie;Yuedi Wang;Xinzhu Sang;Binbin Yan
作者机构：
State Key Laboratory of Information Photonics and Optical Communications, Beijing University of Posts and Telecommunications, Beijing 100876, China
文献出处：
引用格式：
[1]Xiangyu Pei;Xunbo Yu;Xin Gao;Xinhui Xie;Yuedi Wang;Xinzhu Sang;Binbin Yan-.End-to-end optimization of a diffractive optical element and aberration correction for integral imaging)[J].中国光学快报（英文版）,2022(12):121101
A类：
B类：
End,end,optimization,diffractive,optical,element,aberration,correction,integral,imaging,In,light,field,display,introduction,DOE,solve,problem,limited,depth,traditional,lens,However,strong,significantly,reduces,final,quality,Thus,herein,joint,method,optimizing,proposed,model,established,using,thickness,variable,deep,learning,network,built,preprocess,composite,image,loaded,panel,simulation,results,show,that,peak,signal,noise,value,optimized,increases,by,dB,which,confirms,effectively
AB值：
0.548812
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