TY - GEN
T1 - The Human Visual System Based Color QR Codes
AU - Tsai, Min Jen
AU - Hsieh, Chin Yu
N1 - Publisher Copyright:
© 2020 IEEE.
PY - 2020/2
Y1 - 2020/2
N2 - 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.
AB - 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.
KW - Human Vision System
KW - QR code
KW - Visualization
UR - http://www.scopus.com/inward/record.url?scp=85083442651&partnerID=8YFLogxK
U2 - 10.1109/ICNC47757.2020.9049707
DO - 10.1109/ICNC47757.2020.9049707
M3 - Conference contribution
AN - SCOPUS:85083442651
T3 - 2020 International Conference on Computing, Networking and Communications, ICNC 2020
SP - 46
EP - 50
BT - 2020 International Conference on Computing, Networking and Communications, ICNC 2020
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 2020 International Conference on Computing, Networking and Communications, ICNC 2020
Y2 - 17 February 2020 through 20 February 2020
ER -