Reconstruction from Spatio-Spectrally Coded Multispectral Light Fields

Reconstruction from Spatio-Spectrally Coded Multispectral Light Fields

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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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Bibliographic Details
Main Author: Schambach, Maximilian (auth)
Format: Electronic Book Chapter
Language:English
Published: KIT Scientific Publishing 2022
Series:Forschungsberichte aus der Industriellen Informationstechnik 27
Subjects:
Electrical engineering
Computer Vision; Lichtfelder; Multispektrale Bildgebung; Compressed Sensing; Deep Learning; computer vision; light fields; multispectral imaging; compressed sensing; deep learning
Online Access:OAPEN Library: download the publication
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Summary: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.
Physical Description:1 electronic resource (238 p.)
ISBN:KSP/1000148072
Access:Open Access

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