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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| Format: | Electronic Book Chapter |
| Language: | English |
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KIT Scientific Publishing
2022
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| Series: | Forschungsberichte aus der Industriellen Informationstechnik
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| Subjects: | |
| Online Access: | DOAB: download the publication DOAB: description of the publication |
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| 100 | 1 | |a Schambach, Maximilian |4 auth | |
| 245 | 1 | 0 | |a Reconstruction from Spatio-Spectrally Coded Multispectral Light Fields |
| 260 | |b KIT Scientific Publishing |c 2022 | ||
| 300 | |a 1 electronic resource (238 p.) | ||
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| 490 | 1 | |a Forschungsberichte aus der Industriellen Informationstechnik | |
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| 520 | |a 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. | ||
| 540 | |a Creative Commons |f https://creativecommons.org/licenses/by-sa/4.0/ |2 cc |4 https://creativecommons.org/licenses/by-sa/4.0/ | ||
| 546 | |a English | ||
| 650 | 7 | |a Electrical engineering |2 bicssc | |
| 653 | |a Computer Vision; Lichtfelder; Multispektrale Bildgebung; Compressed Sensing; Deep Learning; computer vision; light fields; multispectral imaging; compressed sensing; deep learning | ||
| 856 | 4 | 0 | |a www.oapen.org |u https://library.oapen.org/bitstream/20.500.12657/59047/1/reconstruction-from-spatio-spectrally-coded-multispectral-light-fields.pdf |7 0 |z DOAB: download the publication |
| 856 | 4 | 0 | |a www.oapen.org |u https://directory.doabooks.org/handle/20.500.12854/93332 |7 0 |z DOAB: description of the publication |