Reconstruction from Spatio-Spectrally Coded Multispectral Light Fields

dc.contributor.author	Schambach, Maximilian
dc.date.accessioned	2022-10-26T04:05:08Z
dc.date.available	2022-10-26T04:05:08Z
dc.date.issued	2022
dc.date.submitted	2022-10-25T09:32:05Z
dc.identifier	https://library.oapen.org/handle/20.500.12657/59047
dc.identifier.uri	https://directory.doabooks.org/handle/20.500.12854/93332
dc.description.abstract	In this work, spatio-spectrally coded multispectral light fields, as taken by a light field camera with a spectrally coded microlens array, are investigated. For the reconstruction of the coded light fields, two methods, one based on the principles of compressed sensing and one deep learning approach, are developed. Using novel synthetic as well as a real-world datasets, the proposed reconstruction approaches are evaluated in detail.
dc.language	English
dc.relation.ispartofseries	Forschungsberichte aus der Industriellen Informationstechnik
dc.rights	open access
dc.subject.other	Computer Vision; Lichtfelder; Multispektrale Bildgebung; Compressed Sensing; Deep Learning; computer vision; light fields; multispectral imaging; compressed sensing; deep learning
dc.subject.other	thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TH Energy technology and engineering::THR Electrical engineering
dc.title	Reconstruction from Spatio-Spectrally Coded Multispectral Light Fields
dc.type	book
oapen.identifier.doi	10.5445/KSP/1000148072
oapen.relation.isPublishedBy	68fffc18-8f7b-44fa-ac7e-0b7d7d979bd2
oapen.pages	238
dc.seriesnumber	27

Files in this item

Files	Size	Format	View
There are no files associated with this item.

Except where otherwise noted, this item's license is described as open access