A Novel Blur Reduction Technique For QR And ASCII Coding In Smartphone Visible Light Communications.

In this paper we present a new scheme to enhance the quick response (QR) code and American Standard code for information interchange (ASCII) in Smartphone-to-Smartphone Visible Light Communications (S2SVLC). The key technique is to avoid the repeated scanning of the blurred QR/ASCII code at the receiver. The technique will help to increase the QR/ASCII detection efficiency and the system data rate. The proposed technique includes converting the RGB image into the grayscale, applying contrast enhancement, scaling and binarizing the image. The experiment includes practical data acquisition and further processing in MATLAB. The obtained result indicates that, in the proposed technique the recovery rate can reach to 96%. We have carried out an end-to-end transmission of the system.