Suppressing defocus noise with U-net in optical scanning holography  

作　　者：欧海燕 吴勇 朱坤 林彦民 王秉中 Haiyan Ou;Yong Wu;Kun Zhu;Edmund YLam;Bing-Zhong Wang(School of Physics,University of Electronic Science and Technology of China,Chengdu 610054,China;Shenzhen Institute for Advanced Study,University of Electronic Science and Technology of China,Shenzhen 518000,China;Department of Electronic and Information Engineering,The Hong Kong Polytechnic University,Hong Kong,China;Department of Electrical and Electronic Engineering,The University of Hong Kong,Hong Kong,China)

机构地区：[1]School of Physics,University of Electronic Science and Technology of China,Chengdu 610054,China [2]Shenzhen Institute for Advanced Study,University of Electronic Science and Technology of China,Shenzhen 518000,China [3]Department of Electronic and Information Engineering,The Hong Kong Polytechnic University,Hong Kong,China [4]Department of Electrical and Electronic Engineering,The University of Hong Kong,Hong Kong,China

出　　处：《Chinese Optics Letters》2023年第8期29-37,共9页中国光学快报（英文版）

摘　　要：Optical scanning holography(OSH)records both the amplitude and phase information of a 3D object by a 2D scan.To reconstruct a 3D volumetric image from an OSH hologram is difficult,as it suffers from the defocus noise from the other sections.The use of a random phase pupil can convert defocus noise into speckle-like noise,which may require further processing in sectional image reconstruction.In this paper,we propose a U-shaped neural network to reduce this speckle haze.Simulation results show that the proposed method works effectively and efficiently both in simple and complex graphics.

关 键 词：digital holography image reconstruction defocus noise neural network 

分 类 号：O438.1[机械工程—光学工程] TP391.41[理学—光学]