{"title":"Physics Embedded Deep Neural Network for Phase Retrieval under Low Photon Conditions","authors":"Mo Deng, A. Goy, K. Arthur, G. Barbastathis","doi":"10.1364/COSI.2019.CM1A.2","DOIUrl":null,"url":null,"abstract":"We design a deep neural network where the known physical forward operator is explicitly embedded and apply it to phase retrieval under low photon conditions to achieve better performance over the end-to-end approach.","PeriodicalId":123636,"journal":{"name":"Imaging and Applied Optics 2019 (COSI, IS, MATH, pcAOP)","volume":"67 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2019-06-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Imaging and Applied Optics 2019 (COSI, IS, MATH, pcAOP)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1364/COSI.2019.CM1A.2","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 1
Abstract
We design a deep neural network where the known physical forward operator is explicitly embedded and apply it to phase retrieval under low photon conditions to achieve better performance over the end-to-end approach.