Comparison of thresholding schemes for visible light communication using mobile-phone image sensor
Author(s) -
Yang Liu,
ChiWai Chow,
Kevin Liang,
Hung-Yu Chen,
Chin-Wei Hsu,
Chung-Yen Chen,
Shih-Hao Chen
Publication year - 2016
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.24.001973
Subject(s) - thresholding , visible light communication , computer science , image sensor , optics , artificial intelligence , photodiode , frame (networking) , computer vision , image (mathematics) , light emitting diode , physics , telecommunications
Based on the rolling shutter effect of the complementary metal-oxide-semiconductor (CMOS) image sensor, bright and dark fringes can be observed in each received frame. By demodulating the bright and dark fringes, the visible light communication (VLC) data logic can be retrieved. However, demodulating the bright and dark fringes is challenging as there is a high data fluctuation and large extinction ratio (ER) variation in each frame due. Hence proper thresholding scheme is needed. In this work, we propose and compare experimentally three thresholding schemes; including third-order polynomial curve fitting, iterative scheme and quick adaptive scheme. The evaluation of these three thresholding schemes is performed.
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