DocumentCode :
77607
Title :
Efficient QR Code Beautification With High Quality Visual Content
Author :
Shih-Syun Lin ; Min-Chun Hu ; Chien-Han Lee ; Tong-Yee Lee
Author_Institution :
Dept. of Comput. Sci. & Inf. Eng., Nat. Cheng Kung Univ., Tainan, Taiwan
Volume :
17
Issue :
9
fYear :
2015
fDate :
Sept. 2015
Firstpage :
1515
Lastpage :
1524
Abstract :
Quick response (QR) code is generally used for embedding messages such that people can conveniently use mobile devices to capture the QR code and acquire information through a QR code reader. In the past, the design of QR code generators only aimed to achieve high decodability and the produced QR codes usually look like random black-and-white patterns without visual semantics. In recent years, researchers have been tried to endow the QR code with aesthetic elements and QR code beautification has been formulated as an optimization problem that minimizes the visual perception distortion subject to acceptable decoding rate. However, the visual quality of the QR code generated by existing methods still leaves much to be desired. In this work, we propose a two-stage approach to generate QR code with high quality visual content. In the first stage, a baseline QR code with reliable decodability but poor visual quality is first synthesized based on the Gauss-Jordan elimination procedure. In the second stage, a rendering mechanism is designed to improve the visual quality while avoiding affecting the decodability of the QR code. The experimental results show that the proposed method substantially enhances the appearance of the QR code and the processing complexity is near real-time.
Keywords :
QR codes; Reed-Solomon codes; decoding; image coding; optimisation; rendering (computer graphics); Gauss-Jordan elimination procedure; QR code beautification; QR code generator; QR code reader; decodability; decoding rate; mobile device; optimization problem; processing complexity; quick response code; random black-and-white pattern; rendering mechanism; visual content; visual perception distortion; visual quality; visual semantics; Decoding; Error correction codes; Image color analysis; Optimization; Rendering (computer graphics); Streaming media; Visualization; Gauss-Jordan elimination; Reed-Solomon (RS) code; quick response (QR) code beautification;
fLanguage :
English
Journal_Title :
Multimedia, IEEE Transactions on
Publisher :
ieee
ISSN :
1520-9210
Type :
jour
DOI :
10.1109/TMM.2015.2437711
Filename :
7112509
Link To Document :
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