Enhancing Spectral Resolution by Fusing Data from Multiple Commercial Sensors

Despite advancements in miniaturizing spectrometers, inexpensive miniature spectrometers are not yet commercially available. Nevertheless, high-quality lighting systems that generate a programmable spectrum by combining several spectrally different channels require inexpensive spectrometers to control the spectrum. Inexpensive color sensors offer a solution to this but lack the necessary spectral resolution. Fusing data from multiple inexpensive color sensors can significantly enhance spectral resolution, potentially making them a cost-effective alternative to miniature spectrometers. In this article, a method for reconstructing spectra is evaluated by using commercially available spectral sensors.

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Publication Details

Journal
Journal of Science and Technology in Lighting
Published
2025-08-28
DOI
https://doi.org/10.2150/jstl.ieij240000668
Citations
1
Primary Topic
Infrared Target Detection Methodologies
Type
article
Field-Weighted Citation Impact
4.99
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article

Enhancing Spectral Resolution by Fusing Data from Multiple Commercial Sensors

Frank Reifegerste, Karl Wichler
1 citations
Journal of Science and Technology in Lighting
Infrared Target Detection Methodologies
4.99
article

Enhancing Spectral Resolution by Fusing Data from Multiple Commercial Sensors

Frank Reifegerste, Karl Wichler
article en
1 citations

Abstract

Despite advancements in miniaturizing spectrometers, inexpensive miniature spectrometers are not yet commercially available. Nevertheless, high-quality lighting systems that generate a programmable spectrum by combining several spectrally different channels require inexpensive spectrometers to control the spectrum. Inexpensive color sensors offer a solution to this but lack the necessary spectral resolution. Fusing data from multiple inexpensive color sensors can significantly enhance spectral resolution, potentially making them a cost-effective alternative to miniature spectrometers. In this article, a method for reconstructing spectra is evaluated by using commercially available spectral sensors.

Journal of Science and Technology in LightingVol. 49(0)
Technische Universität Dresden (DE)
Openalex Percentile: Top 5%
Infrared Target Detection Methodologies
4.99
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