Clarity method of fog and dust image in fully mechanized mining face-Reference-Cited by-同舟云学术

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Clarity method of fog and dust image in fully mechanized mining face

Published:2022-02-12 Issue:2 Volume:33 Page:
ISSN:0932-8092
Container-title:Machine Vision and Applications
language:en
Short-container-title:Machine Vision and Applications

Author:

Mao Qinghua,Wang Yufei^ORCID,Zhang Xuhui,Zhao Xiaoyong,Zhang Guangming,Mushayi Kundayi

Funder

Natural Science Foundation of China

Shaanxi Coal Joint Fund with Shaanxi Provincial Department of Science and Technology

Shaanxi Province Innovative Talents Project

Shaanxi Province Key Research and Development Project

Project of Shaanxi Key Laboratory of Mine Electromechanical Equipment Intelligent Monitoring in China

Publisher

Springer Science and Business Media LLC

Subject

Computer Science Applications,Computer Vision and Pattern Recognition,Hardware and Architecture,Software

Link

https://link.springer.com/content/pdf/10.1007/s00138-022-01282-1.pdf

Reference21 articles.

1. Wang, W., Yuan, X.: Recent advances in image dehazing. IEEE CAA J. Autom. Sin. 4(3), 410–436 (2017)

2. Zhang, Y., Ding, L., Sharma, G.: Hazerd: an outdoor scene dataset and benchmark for single image dehazing. In: IEEE international conference on image processing, pp. 3205–3209 (2017)

3. Yuan, K., Wei, J., Lu, W., et al.: Single image dehazing via NIN-DehazeNet. IEEE Access 7, 181348–181356 (2019)

4. Li, C., Zhao, X., Zhang, Z., et al.: Generative adversarial dehaze mapping nets. Pattern Recogn. Lett. 119, 238–244 (2019)

5. Ni, W., Gao, X., Wang, Y.: Single satellite image dehazing via linear intensity transformation and local property analysis. Neurocomputing 175, 25–39 (2016)

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