0469350 - ÚFP 2017 RIV US eng C - Konferenční příspěvek (zahraniční konf.)
Žídek, Karel - Denk, Ondřej - Hlubuček, Jiří - Václavík, Jan
Compact and robust hyperspectral camera based on compressed sensing.
Proceedings of SPIE 10151, Optics and Measurement International Conference 2016. Vol. 10151. Bellingham: SPIE, Society of Photo-Optical Instrumentation Engineers, 2016 - (Kovačičinová, J.), č. článku 101510N. SPIE. ISBN 978-1-5106-0753-8. ISSN 0277-786X.
[OAM 2016, Optics and Measurement International Conference 2016. Liberec (CZ), 11.10.2016-14.10.2016]
Grant CEP: GA MŠMT(CZ) LO1206
Institucionální podpora: RVO:61389021
Klíčová slova: hyperspectral camera * compressed sensing * single-snapshot spectral imaging * spati-spectral reconstruction
Kód oboru RIV: JA - Elektronika a optoelektronika, elektrotechnika
http://dx.doi.org/10.1117/12.2250268

Spectrum of light which is emitted or reflected by an object carries immense amount of information about the object. A simple piece of evidence is the importance of color sensing for human vision. Combining an image acquisition with efficient measurement of light spectra for each detected pixel is therefore one of the important issues in imaging, referred as hyperspectral imaging. We demonstrate a construction of a compact and robust hyperspectral camera for the visible and near-IR spectral region. The camera was designed vastly based on off-shelf optics, yet an extensive optimization and addition of three customized parts enabled construction of the camera featuring a low f-number (F/3.9) and fully concentric optics. We employ a novel approach of compressed sensing (namely coded aperture snapshot spectral imaging, abbrev. CASSI). The compressed sensing enables to computationally extract an encoded hyperspectral information from a single camera exposition. Owing to the technique the camera lacks any moving or scanning part, while it can record the full image and spectral information in a single snapshot. Moreover, unlike the commonly used compressed sensing table-top apparatuses, the camera represents a portable device able to work outside a lab. We demonstrate the spectro-temporal reconstruction of recorded scenes based on 90×90 random matrix encoding. Finally, we discuss potential of the compressed sensing in hyperspectral camera.
Trvalý link: http://hdl.handle.net/11104/0267148