{"title":"基于深度学习的数字全息相位成像","authors":"Chencen Xiong, Zhenbo Ren, Jianglei Di, Jianlin Zhao","doi":"10.1364/dh.2022.w5a.52","DOIUrl":null,"url":null,"abstract":"Deep learning has been widely employed for digital holographic reconstruction. In this paper, we present a learning-based method for phase imaging from digital holograms without complicated and notorious operations such as phase unwrapping.","PeriodicalId":227456,"journal":{"name":"Digital Holography and 3-D Imaging 2022","volume":"129 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Phase imaging for digital holography with deep learning\",\"authors\":\"Chencen Xiong, Zhenbo Ren, Jianglei Di, Jianlin Zhao\",\"doi\":\"10.1364/dh.2022.w5a.52\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Deep learning has been widely employed for digital holographic reconstruction. In this paper, we present a learning-based method for phase imaging from digital holograms without complicated and notorious operations such as phase unwrapping.\",\"PeriodicalId\":227456,\"journal\":{\"name\":\"Digital Holography and 3-D Imaging 2022\",\"volume\":\"129 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"1900-01-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Digital Holography and 3-D Imaging 2022\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1364/dh.2022.w5a.52\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Digital Holography and 3-D Imaging 2022","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1364/dh.2022.w5a.52","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Phase imaging for digital holography with deep learning
Deep learning has been widely employed for digital holographic reconstruction. In this paper, we present a learning-based method for phase imaging from digital holograms without complicated and notorious operations such as phase unwrapping.
求助内容：
应助结果提醒方式：
京公网安备 11010802042870号
