Emulation of X-ray Light-Field Cameras.

Autor: Viganò N; ESRF-The European Synchrotron, 38043 Grenoble, France.; Centrum Wiskunde & Informatica (CWI), NWO, 1098 XG Amsterdam, The Netherlands., Lucka F; Centrum Wiskunde & Informatica (CWI), NWO, 1098 XG Amsterdam, The Netherlands.; Centre for Medical Image Computing, University College London, London WC1V 6LJ, UK., de La Rochefoucauld O; Imagine Optic, 33400 Talence, France., Coban SB; Centrum Wiskunde & Informatica (CWI), NWO, 1098 XG Amsterdam, The Netherlands., van Liere R; Centrum Wiskunde & Informatica (CWI), NWO, 1098 XG Amsterdam, The Netherlands.; Mathematics and Computer Science, Technical University Eindhoven, 5600 MB Eindhoven, The Netherlands., Fajardo M; Instituto de Plasmas e Fusão Nuclear, Instituto Superior Técnico, Universidade de Lisboa, 1049-001 Lisboa, Portugal., Zeitoun P; Laboratoire d'Optique Appliquée, ENSTA, CNRS, Institut Polytechnique Paris, 91762 Palaiseau, France., Batenburg KJ; Centrum Wiskunde & Informatica (CWI), NWO, 1098 XG Amsterdam, The Netherlands.; Leiden Institute of Advanced Computer Science, Leiden University, 2333 CA Leiden, The Netherlands.
Jazyk: angličtina
Zdroj: Journal of imaging [J Imaging] 2020 Dec 11; Vol. 6 (12). Date of Electronic Publication: 2020 Dec 11.
DOI: 10.3390/jimaging6120138
Abstrakt: X-ray plenoptic cameras acquire multi-view X-ray transmission images in a single exposure (light-field). Their development is challenging: designs have appeared only recently, and they are still affected by important limitations. Concurrently, the lack of available real X-ray light-field data hinders dedicated algorithmic development. Here, we present a physical emulation setup for rapidly exploring the parameter space of both existing and conceptual camera designs. This will assist and accelerate the design of X-ray plenoptic imaging solutions, and provide a tool for generating unlimited real X-ray plenoptic data. We also demonstrate that X-ray light-fields allow for reconstructing sharp spatial structures in three-dimensions (3D) from single-shot data.
Databáze: MEDLINE
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