一种基于模糊成像机理的QR码图像快速盲复原方法.

Chen, Rongjun; Zheng, Zhijun; Zhao, Huimin; Ren, Jinchang; Tan, Hongzhou

Abstract

A fast blind restoration method of QR code images was proposed based on a blurred imaging mechanism. On the basis of the research on the centroid invariance of the blurred imaging diffuse light spots, the circular finder pattern is designed. When the image is blurred, the centroid of the pattern and the position of the QR code symbol can be quickly detected by methods such as connected components. Moreover, combined with step edge characteristics, gradient and intensity characteristics, edge detection technology, and optical imaging mechanism, the defocus radius of the blurred QR code image can be quickly and accurately estimated. Furthermore, the Wiener filter is applied to restore the QR code image quickly and effectively. Compared with the other algorithms, the proposed method has improved deblurring results in both structural similarity and peak signal-to-noise ratio, especially in the recovery speed. The average recovery time is 0.329 2 s. Experimental results show that this method can estimate the defocus radius with high accuracy and can quickly realize the blind restoration of QR code images. It has the advantages of rapidity and robustness, which are convenient for embedded hardware implementation and suitable for barcode identification-related industrial Internet of Things application scenarios. The full text of this article is in Chinese.

Citation

CHEN, R., ZHENG, Z., ZHAO, H., REN, J. and TAN, H. 2021. 一种基于模糊成像机理的QR 码图像快速 盲复原方法. = [Fast blind restoration of QR code images based on blurred imaging mechanism]. Guangzi xuebao/Acta photonica sinica [online], 50(7), article 0710003. Available from: https://doi.org/10.3788/gzxb20215007.0710003

• Journal Article Type: Article
• Acceptance Date: Jul 8, 2021
• Online Publication Date: Jul 25, 2021
• Publication Date: Jul 31, 2021
• Deposit Date: Aug 20, 2021
• Publicly Available Date: Aug 20, 2021
• Journal: Guangzi xuebao/Acta photonica sinica
• Print ISSN: 1004-4213
• Electronic ISSN: 1004-4213
• Publisher: Science Press Ltd
• Peer Reviewed: Not Peer Reviewed
• Volume: 50
• Issue: 7
• Article Number: 0710003
• DOI: https://doi.org/10.3788/gzxb20215007.0710003
• Keywords: Optical imaging; QR code image; Out-of-focus blurred; Image restoration; Diffuse light spots; Internet of things systems
• Public URL: https://rgu-repository.worktribe.com/output/1411374