The Human Visual System Based Color QR Codes

Min Jen Tsai, Chin Yu Hsieh

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

1 Scopus citations

Abstract

QR codes have been used in consumer advertising fields widely and often possesses a significant visual area. In general, QR codes is small, black square block which is generally visually unpleasant. Therefore, visual QR codes could improve the exterior appearance and social acceptability. In this study, a content based encoding method for creating visual color QR codes is proposed. The proposed approach adopts the Human Visual System consideration to achieve high quality colorful QR codes. Several measurements to evaluate the robustness of the proposed scheme is performed which includes Gaussian noise, Gaussian blurring, tilted angle attacks. The visual metric comparison of the encoded image quality is also studied. In summary, the proposed technique outperforms the previous researches and it is a promising technique that can be implemented in real applications.

Original languageEnglish
Title of host publication2020 International Conference on Computing, Networking and Communications, ICNC 2020
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages46-50
Number of pages5
ISBN (Electronic)9781728149059
DOIs
StatePublished - Feb 2020
Event2020 International Conference on Computing, Networking and Communications, ICNC 2020 - Big Island, United States
Duration: 17 Feb 202020 Feb 2020

Publication series

Name2020 International Conference on Computing, Networking and Communications, ICNC 2020

Conference

Conference2020 International Conference on Computing, Networking and Communications, ICNC 2020
Country/TerritoryUnited States
CityBig Island
Period17/02/2020/02/20

Keywords

  • Human Vision System
  • QR code
  • Visualization

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