{"title":"Digital holographic imaging via deep learning","authors":"Zhenbo Ren, Tianjiao Zeng, E. Lam","doi":"10.1364/COSI.2019.CTU3A.4","DOIUrl":null,"url":null,"abstract":"We propose an end-to-end deep learning method for holographic reconstruction. Through this data-driven approach, it is possible to reconstruct a noise-free image that does not require any prior knowledge.","PeriodicalId":123636,"journal":{"name":"Imaging and Applied Optics 2019 (COSI, IS, MATH, pcAOP)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2019-06-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"6","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.CTU3A.4","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 6
Abstract
We propose an end-to-end deep learning method for holographic reconstruction. Through this data-driven approach, it is possible to reconstruct a noise-free image that does not require any prior knowledge.
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