Rolling-shutter-effect camera-based visible light communication using RGB channel separation and an artificial neural network | Zendy

Ke-Ling Hsu | Zendy; ChiWai Chow | Zendy; Yang Liu | Zendy; YuChun Wu | Zendy; Chong-You Hong | Zendy; Xin-Lan Liao | Zendy; Kun-Hsien Lin | Zendy; Yi-Yuan Chen | Zendy

Open Access

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,

YuChun Wu,

Chong-You Hong,

Xin-Lan Liao,

Kun-Hsien 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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