reconstruction-from-spatio-spectrally-coded-multispectral-light-fields.pdf

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 approac...

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Γλώσσα:English
Έκδοση: KIT Scientific Publishing 2022
Διαθέσιμο Online:https://doi.org/10.5445/KSP/1000148072
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spelling oapen-20.500.12657-590472022-10-26T03:34:08Z Reconstruction from Spatio-Spectrally Coded Multispectral Light Fields Schambach, Maximilian Computer Vision; Lichtfelder; Multispektrale Bildgebung; Compressed Sensing; Deep Learning; computer vision; light fields; multispectral imaging; compressed sensing; deep learning bic Book Industry Communication::T Technology, engineering, agriculture::TH Energy technology & engineering::THR Electrical engineering 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. 2022-10-25T09:32:05Z 2022-10-25T09:32:05Z 2022 book https://library.oapen.org/handle/20.500.12657/59047 eng Forschungsberichte aus der Industriellen Informationstechnik application/pdf Attribution-ShareAlike 4.0 International reconstruction-from-spatio-spectrally-coded-multispectral-light-fields.pdf https://doi.org/10.5445/KSP/1000148072 KIT Scientific Publishing 10.5445/KSP/1000148072 10.5445/KSP/1000148072 44e29711-8d53-496b-85cc-3d10c9469be9 27 238 open access
institution OAPEN
collection DSpace
language English
description 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.
title reconstruction-from-spatio-spectrally-coded-multispectral-light-fields.pdf
spellingShingle reconstruction-from-spatio-spectrally-coded-multispectral-light-fields.pdf
title_short reconstruction-from-spatio-spectrally-coded-multispectral-light-fields.pdf
title_full reconstruction-from-spatio-spectrally-coded-multispectral-light-fields.pdf
title_fullStr reconstruction-from-spatio-spectrally-coded-multispectral-light-fields.pdf
title_full_unstemmed reconstruction-from-spatio-spectrally-coded-multispectral-light-fields.pdf
title_sort reconstruction-from-spatio-spectrally-coded-multispectral-light-fields.pdf
publisher KIT Scientific Publishing
publishDate 2022
url https://doi.org/10.5445/KSP/1000148072
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