MLCS: Face-to-face mobile-LCD communication system based on visible light communication

Yi-fan Pan, Jing Wu, C. Long
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引用次数: 7

Abstract

Given the explosive growth of cameras and LCDs in todays society, cameras get easy access to nearby LCDs and could be utilized for communication access based on visible light communication (VLC). However, there is still no prototype to implement two-way communications. Main challenge lies in the reflection noise since two screens of LCD and/or smartphone are in face-to-face position for two-way communications. In this paper, we advance a step for developing MLCS, a face-to-face mobile-LCD communication system using off-the-shelf camera-mounted LCD and smartphone. More specifically, we propose ADIC, an ADjacent Image Calibration approach to eliminate the reflection noise. ADIC exploits our experimental observation that black-screen image can capture the main reflection noise. To increase the throughput, ADIC presents an adaptive black-screen image calibration method based on the feedback information for characterizing the reflection index of received image. Our approach is evaluated through extensive experiments on smartphone and laptop.
MLCS:基于可见光通信的面对面移动lcd通信系统
在当今社会,随着摄像机和lcd的爆炸式增长,摄像机可以很容易地访问附近的lcd,并且可以用于基于可见光通信(VLC)的通信接入。然而,仍然没有实现双向通信的原型。由于LCD和/或智能手机的两个屏幕面对面进行双向通信,因此主要的挑战是反射噪声。在本文中,我们提出了一个步骤,开发MLCS,一个面对面的移动LCD通信系统,利用现成的相机安装的LCD和智能手机。更具体地说,我们提出了一种相邻图像校准方法来消除反射噪声。ADIC利用我们的实验观察,黑屏图像可以捕获主反射噪声。为了提高吞吐量,ADIC提出了一种基于反馈信息的自适应黑屏图像校准方法来表征接收图像的反射指数。我们的方法通过在智能手机和笔记本电脑上进行广泛的实验来评估。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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