| Issue |
E3S Web of Conf.
Volume 389, 2023
Ural Environmental Science Forum “Sustainable Development of Industrial Region” (UESF-2023)
|
|
|---|---|---|
| Article Number | 01022 | |
| Number of page(s) | 9 | |
| Section | Materials Science Innovations, Green Chemistry and Emission Reduction | |
| DOI | https://doi.org/10.1051/e3sconf/202338901022 | |
| Published online | 31 May 2023 | |
Application of the Kimmel method for two-layer matrix color separation systems
Moscow Power Engineering Institute, Moscow, Energeticheski proezd 1, 214013, Smolensk, Russia
* Corresponding author: vera-zhbanova@yandex.ru
In this work, interpolation by the Kimmel method is applied for the developed color separation systems based on matrix photodetectors. Author's two-layer receivers with an equal distribution of layers of the visible and infrared spectra over the sensitive surface are given. To compare the interpolation result, it was proposed to use a matrix photodetector with a modified standard RGBG system on RGBIr. This system shows what a multispectral receiver would be like without the use of multilayer silicon technologies. Thus, it was possible to show that the use of two-layer color separation systems simplifies the interpolation algorithm by a factor of two. The developed systems can be useful in various fields of science and technology. The use of such multispectral matrices is necessary especially in agriculture and forestry for monitoring the environment and detecting fire.
Key words: interpolation / photodetector / image / Kimmel / infrared
© The Authors, published by EDP Sciences, 2023
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.
Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.
Initial download of the metrics may take a while.