Liu Yang, Chow Chi-Wai, Liang Kevin, Chen Hung-Yu, Hsu Chin-Wei, Chen Chung-Yen, Chen Shih-Hao
Opt Express. 2016 Feb 8;24(3):1973-8. doi: 10.1364/OE.24.001973.
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.
基于互补金属氧化物半导体(CMOS)图像传感器的卷帘快门效应,在每个接收帧中都可以观察到亮条纹和暗条纹。通过对亮条纹和暗条纹进行解调,可以检索可见光通信(VLC)数据逻辑。然而,由于每一帧中存在高数据波动和大消光比(ER)变化,对亮条纹和暗条纹进行解调具有挑战性。因此,需要合适的阈值处理方案。在这项工作中,我们提出并通过实验比较了三种阈值处理方案,包括三阶多项式曲线拟合、迭代方案和快速自适应方案。对这三种阈值处理方案进行了评估。