{"title":"Snapshot Compressive Spectral Light Field Tensor Imaging","authors":"M. Márquez, Hoover F. Rueda, E. Vera, H. Arguello","doi":"10.1364/COSI.2019.CTU2A.6","DOIUrl":null,"url":null,"abstract":"This work proposes a novel compressive spectral light field imaging architecture along with a tensor-based reconstruction algorithm to estimate the four-dimensional image source from a set of compressed measurements.","PeriodicalId":123636,"journal":{"name":"Imaging and Applied Optics 2019 (COSI, IS, MATH, pcAOP)","volume":"38 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2019-06-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","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.CTU2A.6","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
This work proposes a novel compressive spectral light field imaging architecture along with a tensor-based reconstruction algorithm to estimate the four-dimensional image source from a set of compressed measurements.
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