Super-resolving barcode images with an edge-preserving variational Bayesian framework-Reference-Cited by-同舟云学术

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Super-resolving barcode images with an edge-preserving variational Bayesian framework

Published:2016-06-09 Issue:3 Volume:25 Page:033016
ISSN:1017-9909
Container-title:Journal of Electronic Imaging
language:en
Short-container-title:J. Electron. Imaging

Author:

Jin Renchao¹,Zhao Shengrong¹,Xu Xiangyang¹,Song Enmin¹,Hung Chih-Cheng²

Affiliation:

1. Huazhong University of Science and Technology, School of Computer Science and Technology, Luoyu Road, Wuhan, 430074, ChinabMinistry of Education, Key Laboratory of Image Processing and Intelligent Control, Luoyu Road, Wuhan, 430074, China

2. Anyang Normal University, Sino-US Intelligent Information Processing Joint Lab, Xuange Road, Anyang, 455000, ChinadKennesaw State University, Center for Machine Vision and Security Research, 1000 Chastain Road, Kennesaw, Georgia 30144, United States

Publisher

SPIE-Intl Soc Optical Eng

Subject

Electrical and Electronic Engineering,Computer Science Applications,Atomic and Molecular Physics, and Optics

Cited by 4 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. QfaR: Location-Guided Scanning of Visual Codes from Long Distances;Proceedings of the 29th Annual International Conference on Mobile Computing and Networking;2023-07-10

2. SAR Analysis for Real Video Super- Resolution Improvement;IEEE Access;2020

3. Reconciling Bayesian and Perimeter Regularization for Binary Inversion;SIAM Journal on Scientific Computing;2020-01

4. An Efficient Method for DPM Code Localization Based on Depthwise Separable Convolution;IEEE Access;2019

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