Reconstruction from Spatio-Spectrally Coded Multispectral Light Fields
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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| 格式: | Online |
| 语言: | 英语 |
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KIT Scientific Publishing
2022
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| 在线阅读: | OCN: 1367234189 |
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| _version_ | 1869516809499049984 |
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| author | Schambach, Maximilian |
| author_browse | Schambach, Maximilian |
| author_facet | Schambach, Maximilian |
| author_sort | Schambach, Maximilian |
| collection | Directory of Open Access Books |
| 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. |
| format | Online |
| id | doab-20.500.12854ir-93332 |
| institution | Directory of Open Access Books |
| language | eng |
| publishDate | 2022 |
| publishDateRange | 2022 |
| publishDateSort | 2022 |
| publisher | KIT Scientific Publishing |
| publisherStr | KIT Scientific Publishing |
| record_format | ojs |
| spelling | doab-20.500.12854ir-933322025-05-27T07:30:06Z 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 thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TH Energy technology and 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. 2022-10-26T04:05:08Z 2022-10-26T04:05:08Z 2022-10-25T09:32:05Z 2022 book OCN: 1367234189 https://library.oapen.org/handle/20.500.12657/59047 9783731512103 https://directory.doabooks.org/handle/20.500.12854/93332 eng Forschungsberichte aus der Industriellen Informationstechnik open access image/jpeg image/jpeg image/jpeg image/jpeg image/jpeg Attribution-ShareAlike 4.0 International Attribution-ShareAlike 4.0 International Attribution-ShareAlike 4.0 International Attribution-ShareAlike 4.0 International Attribution-ShareAlike 4.0 International https://library.oapen.org/bitstream/20.500.12657/59047/1/reconstruction-from-spatio-spectrally-coded-multispectral-light-fields.pdf https://library.oapen.org/bitstream/20.500.12657/59047/1/reconstruction-from-spatio-spectrally-coded-multispectral-light-fields.pdf https://library.oapen.org/bitstream/20.500.12657/59047/1/reconstruction-from-spatio-spectrally-coded-multispectral-light-fields.pdf https://library.oapen.org/bitstream/20.500.12657/59047/1/reconstruction-from-spatio-spectrally-coded-multispectral-light-fields.pdf https://library.oapen.org/bitstream/20.500.12657/59047/1/reconstruction-from-spatio-spectrally-coded-multispectral-light-fields.pdf KIT Scientific Publishing 10.5445/KSP/1000148072 10.5445/KSP/1000148072 68fffc18-8f7b-44fa-ac7e-0b7d7d979bd2 9783731512103 AG Universitätsverlage 238 open access |
| spellingShingle | Computer Vision; Lichtfelder; Multispektrale Bildgebung; Compressed Sensing; Deep Learning; computer vision; light fields; multispectral imaging; compressed sensing; deep learning thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TH Energy technology and engineering::THR Electrical engineering Schambach, Maximilian Reconstruction from Spatio-Spectrally Coded Multispectral Light Fields |
| title | Reconstruction from Spatio-Spectrally Coded Multispectral Light Fields |
| title_full | Reconstruction from Spatio-Spectrally Coded Multispectral Light Fields |
| title_fullStr | Reconstruction from Spatio-Spectrally Coded Multispectral Light Fields |
| title_full_unstemmed | Reconstruction from Spatio-Spectrally Coded Multispectral Light Fields |
| title_short | Reconstruction from Spatio-Spectrally Coded Multispectral Light Fields |
| title_sort | reconstruction from spatio spectrally coded multispectral light fields |
| topic | Computer Vision; Lichtfelder; Multispektrale Bildgebung; Compressed Sensing; Deep Learning; computer vision; light fields; multispectral imaging; compressed sensing; deep learning thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TH Energy technology and engineering::THR Electrical engineering |
| topic_facet | Computer Vision; Lichtfelder; Multispektrale Bildgebung; Compressed Sensing; Deep Learning; computer vision; light fields; multispectral imaging; compressed sensing; deep learning thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TH Energy technology and engineering::THR Electrical engineering |
| url | OCN: 1367234189 |
| work_keys_str_mv | AT schambachmaximilian reconstructionfromspatiospectrallycodedmultispectrallightfields |