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Fast restoration for out-of-focus blurred images of QR code with edge prior information via image sensing.

Chen, Rongjun; Zheng, Zhijun; Yu, Yongxing; Zhao, Huimin; Ren, Jinchang; Tan, Hong-Zhou

Authors

Rongjun Chen

Zhijun Zheng

Yongxing Yu

Huimin Zhao

Hong-Zhou Tan



Abstract

Out-of-focus blurring of the QR code is very common in mobile Internet systems, which often causes failure of authentication as a result of a misreading of the information hence adversely affects the operation of the system. To tackle this difficulty, this work firstly introduced an edge prior information, which is the average distance between the center point and the edge of the clear QR code images in the same batch. It is motivated by the theoretical analysis and the practical observation of the theory of CMOS image sensing, optics information, blur invariants, and the invariance of the center of the diffuse light spots. After obtaining the edge prior information, combining the iterative image and the center point of the binary image, the proposed method can accurately estimate the parameter of the out-of-focus blur kernel. Furthermore, we obtain the sharp image by Wiener filter, a non-blind image deblurring algorithm. By this, it avoids excessive redundant calculations. Experimental results validate that the proposed method has great practical utility in terms of deblurring quality, robustness, and computational efficiency, which is suitable for barcode application systems, e.g., warehouse, logistics, and automated production.

Citation

CHEN, R., ZHENG, Z., YU, Y., ZHAO, H., REN, J. and TAN, H.-Z. 2021. Fast restoration for out-of-focus blurred images of QR code with edge prior information via image sensing. IEEE sensors journal [online], 21(16), article 103048, pages 18222-18236. Available from: https://doi.org/10.1109/JSEN.2021.3085568

Journal Article Type Article
Acceptance Date Jun 16, 2021
Online Publication Date Jun 16, 2021
Publication Date Aug 15, 2021
Deposit Date Jun 22, 2021
Publicly Available Date Jun 22, 2021
Journal IEEE Sensors Journal
Print ISSN 1530-437X
Electronic ISSN 1558-1748
Publisher Institute of Electrical and Electronics Engineers (IEEE)
Peer Reviewed Peer Reviewed
Volume 21
Issue 16
Article Number 103048
Pages 18222-18236
DOI https://doi.org/10.1109/jsen.2021.3085568
Keywords Image restoration; Sensors; Kernel; Image edge detection; Sorting; Degradation; Deep learning; Image sensing; Optical imaging; Out-of-focus blurring; QR code images; Edge prior information
Public URL https://rgu-repository.worktribe.com/output/1369587

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