NDLI: Quick response barcode deblurring via L 0 regularisation based sparse optimisation

Content Provider	IET Digital Library
Author	Zhang, Yan Pu, Haitao Lian, Jian
Abstract	In recent years, the two-dimensional barcode techniques have been widely applied in a large number of fields due to the requirement for the development of information acquisition technology. Also, the identification and verification of the static barcodes could be implemented flawlessly. However, the recognition of the motion blurred two-dimensional barcode images still remains a challenge to most of the current machine vision systems. To address the above-mentioned problem, the authors propose a L 0 regularisation-based approach to reverse the blurry barcode images while taking the number of black and white blocks in the two-dimensional barcode image as the prior. To evaluate the performance of the proposed approach, they conducted comparison experiments between state-of-the-art image deblurring methods and ours. Experimental results on synthetically blurry barcode images show that the proposed method outperforms the state-of-the-art image restoration techniques.
Starting Page	1254
Ending Page	1258
Page Count	5
ISSN	17519659
Volume Number	13
e-ISSN	17519667
Issue Number	Issue 8, Jun (2019)
Alternate Webpage(s)	https://digital-library.theiet.org/content/journals/iet-ipr/13/8
Alternate Webpage(s)	https://digital-library.theiet.org/content/journals/10.1049/iet-ipr.2018.5738
Journal	IET Image Processing
Publisher Date	2019-02-15
Access Restriction	Open
Rights Holder	© The Institution of Engineering and Technology
Subject Keyword	Bar Codes Black Blocks Computer Vision Computer Vision And Image Processing Technique Current Machine Vision System Identification Image Deblurring Method Image Motion Analysis Image Restoration Image Restoration Technique Information Acquisition Technology L0 Regularisation-based Approach Motion Blurred Two-dimensional Barcode Image Optical, Image And Video Signal Processing Optimisation Quick Response Barcode Deblurring Sparse Optimisation Static BarCode Synthetically Blurry Barcode Image Two-dimensional Barcode Technique Verification White Blocks
Content Type	Text
Resource Type	Article
Subject	Signal Processing Electrical and Electronic Engineering Computer Vision and Pattern Recognition Software

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