{"title":"Coded aperture compressive spectral imaging","authors":"Henry Arguello Fuentes, G. Arce","doi":"10.1109/STSIVA.2013.6644909","DOIUrl":null,"url":null,"abstract":"This article overviews the fundamental optical phenomena behind compressive spectral imaging, presents the key mathematical concepts embodying the sensing and reconstruction mechanisms, and describes the optimization framework used to design optimal coded apertures in a number of applications including hyperspectral image reconstruction, spectral selectivity, and super-resolution.","PeriodicalId":359994,"journal":{"name":"Symposium of Signals, Images and Artificial Vision - 2013: STSIVA - 2013","volume":"106 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2013-10-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Symposium of Signals, Images and Artificial Vision - 2013: STSIVA - 2013","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/STSIVA.2013.6644909","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 2
Abstract
This article overviews the fundamental optical phenomena behind compressive spectral imaging, presents the key mathematical concepts embodying the sensing and reconstruction mechanisms, and describes the optimization framework used to design optimal coded apertures in a number of applications including hyperspectral image reconstruction, spectral selectivity, and super-resolution.