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

Vaigai Nayaki Yokar; null Hoa-Le-Minh; Fary Ghassemlooy; Wai Lok Woo

doi:10.1109/csndsp54353.2022.9907993

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

Vaigai Nayaki Yokar, Hoa-Le-Minh, Fary Ghassemlooy, Wai Lok Woo

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

4 Citations (Scopus)

Abstract

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.

Original language	English
Title of host publication	2022 13th International Symposium on Communication Systems, Networks and Digital Signal Processing (CSNDSP)
Publisher	IEEE
ISBN (Electronic)	9781665410441
ISBN (Print)	9781665410458
DOIs	https://doi.org/10.1109/csndsp54353.2022.9907993
Publication status	Published - 20 Jul 2022

Access to Document

10.1109/csndsp54353.2022.9907993

Cite this

@inproceedings{d36e93deb18947d0ad7b6e3a8fcdaccd,

title = "A Novel Blur Reduction Technique For QR And ASCII Coding In Smartphone Visible Light Communications",

abstract = "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.",

author = "Yokar, {Vaigai Nayaki} and Hoa-Le-Minh and Fary Ghassemlooy and Woo, {Wai Lok}",

year = "2022",

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doi = "10.1109/csndsp54353.2022.9907993",

language = "English",

isbn = "9781665410458",

booktitle = "2022 13th International Symposium on Communication Systems, Networks and Digital Signal Processing (CSNDSP)",

publisher = "IEEE",

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A Novel Blur Reduction Technique For QR And ASCII Coding In Smartphone Visible Light Communications. / Yokar, Vaigai Nayaki; Hoa-Le-Minh; Ghassemlooy, Fary et al.
2022 13th International Symposium on Communication Systems, Networks and Digital Signal Processing (CSNDSP). IEEE, 2022.

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

TY - GEN

T1 - A Novel Blur Reduction Technique For QR And ASCII Coding In Smartphone Visible Light Communications

AU - Yokar, Vaigai Nayaki

AU - Hoa-Le-Minh, null

AU - Ghassemlooy, Fary

AU - Woo, Wai Lok

PY - 2022/7/20

Y1 - 2022/7/20

N2 - 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.

AB - 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.

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DO - 10.1109/csndsp54353.2022.9907993

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BT - 2022 13th International Symposium on Communication Systems, Networks and Digital Signal Processing (CSNDSP)

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