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Rolling-shutter-effect camera-based visible light communication using RGB channel separation and an artificial neural network
Author(s) -
Ke Ling Hsu,
ChiWai Chow,
Yang Liu,
Yu Chun Wu,
Chong You Hong,
Xin Liao,
Kun-Wei Lin,
Yi Yuan Chen
Publication year - 2020
Publication title -
optics express
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.394
H-Index - 271
ISSN - 1094-4087
DOI - 10.1364/oe.405309
Subject(s) - rgb color model , rolling shutter , shutter , visible light communication , artificial intelligence , optics , computer science , channel (broadcasting) , artificial neural network , pixel , interference (communication) , computer vision , light emitting diode , telecommunications , physics
We propose and demonstrate a light-panel and rolling-shutter-effect (RSE) camera-based visible light communication (VLC) system using Z-score normalization, red/green/blue (RGB) color channel separation, and 1-D artificial neural network (ANN). The proposed scheme can mitigate the high inter-symbol interference (ISI) generated by the RSE pattern due to the low pixel-per-bit and high noise-ratio (NR) of the display contents.

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