{"title":"基于ADMM的数字全息重建正则化优化","authors":"Athira P. Shaji, M. Sheeja","doi":"10.1364/dh.2022.tu2a.7","DOIUrl":null,"url":null,"abstract":"Compressed sensing is effective in twin image removal of in-line holograms, but has slower convergence and higher computational time. Proposed method suppresses twin images by solving an inverse problem using ADMM and offers better convergence.","PeriodicalId":227456,"journal":{"name":"Digital Holography and 3-D Imaging 2022","volume":"1 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"ADMM Based Regularized Optimization for Reconstruction of Digital In-line Holography\",\"authors\":\"Athira P. Shaji, M. Sheeja\",\"doi\":\"10.1364/dh.2022.tu2a.7\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Compressed sensing is effective in twin image removal of in-line holograms, but has slower convergence and higher computational time. Proposed method suppresses twin images by solving an inverse problem using ADMM and offers better convergence.\",\"PeriodicalId\":227456,\"journal\":{\"name\":\"Digital Holography and 3-D Imaging 2022\",\"volume\":\"1 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.tu2a.7\",\"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.tu2a.7","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
ADMM Based Regularized Optimization for Reconstruction of Digital In-line Holography
Compressed sensing is effective in twin image removal of in-line holograms, but has slower convergence and higher computational time. Proposed method suppresses twin images by solving an inverse problem using ADMM and offers better convergence.
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