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Proceedings Paper

Extended characterization of multispectral resolving filter-on-chip snapshot-mosaic CMOS cameras
Author(s): P.-G. Dittrich; M. Bichra; D. Stiehler; C. Pfützenreuter; L. Radtke; M. Rosenberger; G. Notni
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Paper Abstract

Multispectral resolving filter-on-chip snapshot-mosaic CMOS cameras are a convenient, reliable and affordable approach for the parallel acquisition of spatial and spectral information. The combination of pixel-arranged spectral filter matrices on CMOS sensors increases their integration density and system complexity by several times compared to standard RGB cameras. Due to the system design, these cameras have an increased spectral crosstalk and specific dependencies from the angle of illumination. To ensure the comparability and reproducibility of the measured values, arrangements, methods and algorithms for the characterization are developed and applied to characterize the capabilities of these cameras. It will be shown how to characterize these cameras in accordance to the EMVA1288 standard and which methods, algorithms and additional measurement arrangements have been developed and applied to make suggestions for extending this standard concerning a possible extension of the characterization for spectral crosstalk and angle dependencies.

Paper Details

Date Published: 14 May 2019
PDF: 11 pages
Proc. SPIE 10986, Algorithms, Technologies, and Applications for Multispectral and Hyperspectral Imagery XXV, 109860I (14 May 2019); doi: 10.1117/12.2518842
Show Author Affiliations
P.-G. Dittrich, Technische Univ. Ilmenau (Germany)
SpectroNet c/o Technologie- und Innovationspark Jena GmbH (Germany)
M. Bichra, Technische Univ. Ilmenau (Germany)
D. Stiehler, Technische Univ. Ilmenau (Germany)
C. Pfützenreuter, Technische Univ. Ilmenau (Germany)
L. Radtke, Technische Univ. Ilmenau (Germany)
M. Rosenberger, Technische Univ. Ilmenau (Germany)
G. Notni, Technische Univ. Ilmenau (Germany)

Published in SPIE Proceedings Vol. 10986:
Algorithms, Technologies, and Applications for Multispectral and Hyperspectral Imagery XXV
Miguel Velez-Reyes; David W. Messinger, Editor(s)

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