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

作者机构：School of PhysicsUniversity of Electronic Science and Technology of ChinaChengdu 610054China Shenzhen Institute for Advanced StudyUniversity of Electronic Science and Technology of ChinaShenzhen 518000China Department of Electronic and Information EngineeringThe Hong Kong Polytechnic UniversityHong KongChina Department of Electrical and Electronic EngineeringThe University of Hong KongHong KongChina 

出 版 物：《Chinese Optics Letters》 (中国光学快报（英文版）)

年 卷 期：2023年第21卷第8期

页      面：29-37页

核心收录：

学科分类：070207[理学-光学] 07[理学] 08[工学] 080203[工学-机械设计及理论] 0802[工学-机械工程] 0803[工学-光学工程] 0702[理学-物理学] 

主　　题：digital holography image reconstruction defocus noise neural network 

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