Extended characterization of multispectral resolving filter-on-chip snapshot-mosaic CMOS cameras

P.-G. Dittrich; M. Bichra; D. Stiehler; C. Pfützenreuter; L. Radtke; M. Rosenberger; G. Notni

doi:10.1117/12.2518842

14 May 2019 Extended characterization of multispectral resolving filter-on-chip snapshot-mosaic CMOS cameras

P.-G. Dittrich, M. Bichra, D. Stiehler, C. Pfützenreuter, L. Radtke, M. Rosenberger, G. Notni

Proceedings Volume 10986, Algorithms, Technologies, and Applications for Multispectral and Hyperspectral Imagery XXV; 109860I (2019) https://doi.org/10.1117/12.2518842
Event: SPIE Defense + Commercial Sensing, 2019, Baltimore, MD, United States

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.

Citation Download Citation

P.-G. Dittrich, M. Bichra, D. Stiehler, C. Pfützenreuter, L. Radtke, M. Rosenberger, and G. Notni "Extended characterization of multispectral resolving filter-on-chip snapshot-mosaic CMOS cameras", Proc. SPIE 10986, Algorithms, Technologies, and Applications for Multispectral and Hyperspectral Imagery XXV, 109860I (14 May 2019); https://doi.org/10.1117/12.2518842

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