Deblurring QR Code Images using Local Maximum and Minimum Intensity Prior-Reference-Cited by-同舟云学术

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Deblurring QR Code Images using Local Maximum and Minimum Intensity Prior

Published:2023-11-03 Issue: Volume: Page:11-15
ISSN:
Container-title:2023 International Conference on Image Processing, Computer Vision and Machine Learning (ICICML)
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Author:

Jin Rushi¹,Sun Yuanhaoji¹,Xu Bin²,Zhang Dazhi³,Guo Yong³,Li Yongsheng³,Li Jinhua¹,Zhang Bo¹,Liu Kai⁴

Affiliation:

1. Sichuan University,School of Mechanical Engineering,Chengdu,China

2. Sichuan University,School of Mechanical Engineering,Chengdu,China,610065

3. Sichuan Police College; Intelligent Policing Key Laboratory of Sichuan Province,Luzhou,China

4. Sichuan University,College of Electrical Engineering,Chengdu,China

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10424714/10424727/10424768.pdf?arnumber=10424768

Reference14 articles.

1. QR codes blind deconvolution algorithm based on binary characteristic and L 0 norm minimization

2. Fast linear motion deblurring for 2D barcode

3. Understanding and evaluating blind deconvolution algorithms

4. Deblurring Text Images via L0-Regularized Intensity and Gradient Prior

5. Blind Image Deblurring With Local Maximum Gradient Prior

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