A General Scheme for QR-code Image Denoising on the Camera Phone

• Main Authors: Chen-Chien Lin, 林陳鍵
• Other Authors: Ming-Syan Chen
• Format: Others
• Language: en_US
• Published: 2009
• Online Access: http://ndltd.ncl.edu.tw/handle/15667157623480204530

碩士 === 國立臺灣大學 === 電信工程學研究所 === 97 === In the recent years, with the rapid advances in the wireless mobile communication technologies and applications, mobile users can obtain information of their requirement from anytime, anywhere, via wireless mobile devices. In these mobile phone applications, the QR-code applications are popular function. In recent applications, users can take a QR-code pattern from the displayer for obtaining their required information. However, if users use high-resolution camera modules in the mobile phone to take QR-code patterns from displayer, the taken image suffers from interference at the pixels from the displayer. Such interference affects QR-code recognition. In this thesis, we propose QR-code denoisy filter to efficiently and effectively filter out these noises and also to preserve the edges of the image on the noisy QR-code patterns. This QR-code denoisy filter processing also can be applied to embedded mobile phones. We also conduct several experiments to evaluate the quality and the performance of our QR-code denoisy filter. As compared to other filters, the experimental results show that our approach can achieve the higher QR-code recognition and a comparable running speed.