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Adaptive window thresholding for noise-robust photo detection in OCC

机译:OCC中噪声鲁棒照片检测的自适应窗口阈值

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摘要

In an image sensor-based visible-light communication, noise reduction is essential for improving the transmission performance because each frame contains received data with various types of noises. In this study, we demonstrate the structures of receive (Rx) and transmit (Tx) frames for optical camera communication (OCC) by using the rolling shutter effect of a complementary metal-oxide semiconductor (CMOS) image sensor. We propose and demonstrate a three-step noise-reduction process for each frame. The additive white Gaussian noise is reduced by using "signal averaging," and the background noise is reduced via "adaptive window thresholding" with "normalization." By using the proposed method, this system shows noise tolerance. We experimentally demonstrate an 8.55-kBd error-free optical camera transmission.
机译:在基于图像传感器的可见光通信中,降噪对于提高传输性能是必不可少的,因为每个帧包含具有各种类型的噪声的接收数据。 在本研究中,我们通过使用互补金属氧化物半导体(CMOS)图像传感器的滚动快门效应来展示用于光学相机通信(OCC)的接收(RX)和发送(TX)帧的结构。 我们提出并展示了每个帧的三步降噪过程。 通过使用“信号平均”减少了添加剂白色高斯噪声,并且通过“标准化”通过“自适应窗口阈值”来减少背景噪声。 通过使用所提出的方法,该系统显示噪声容差。 我们通过实验展示了8.55 kBD无差错的光学摄像头传输。

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