The Human Visual System Based Color QR Codes

Min Jen Tsai, Chin Yu Hsieh

研究成果: Conference contribution同行評審

1 引文 斯高帕斯(Scopus)

摘要

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.

原文English
主出版物標題2020 International Conference on Computing, Networking and Communications, ICNC 2020
發行者Institute of Electrical and Electronics Engineers Inc.
頁面46-50
頁數5
ISBN(電子)9781728149059
DOIs
出版狀態Published - 2月 2020
事件2020 International Conference on Computing, Networking and Communications, ICNC 2020 - Big Island, United States
持續時間: 17 2月 202020 2月 2020

出版系列

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

Conference

Conference2020 International Conference on Computing, Networking and Communications, ICNC 2020
國家/地區United States
城市Big Island
期間17/02/2020/02/20

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