A real-time quality improvement method based on an adaptive dynamic screened Poisson equation for surveillance video in sand-dust weather-Reference-Cited by-同舟云学术

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A real-time quality improvement method based on an adaptive dynamic screened Poisson equation for surveillance video in sand-dust weather

Published:2023-09-08 Issue:6 Volume:20 Page:
ISSN:1861-8200
Container-title:Journal of Real-Time Image Processing
language:en
Short-container-title:J Real-Time Image Proc

Author:

Ni Dongdong,Jia Zhenhong,Yang Jie,Kasabov Nikola

Funder

the Excellent Doctoral Research Innovation Program of Xinjiang University

the International Science and Technology Cooperation Project of the Ministry of Education of the People’s Republic of China

the National Science Foundation of China

Publisher

Springer Science and Business Media LLC

Subject

Information Systems

Link

https://link.springer.com/content/pdf/10.1007/s11554-023-01361-0.pdf

Reference34 articles.

1. Shen, W., et al.: An image enhancement algorithm of video surveillance scene based on deep learning. IET Image Process. 16, 681–690 (2022). https://doi.org/10.1049/ipr2.12286

2. Tsakanikas, V., Dagiuklas T.: Video surveillance systems-current status and future trends[J]. Computers & Electrical Engineering. 70, 736–753 (2018)

3. Agrawal, S.C., Agarwal, R.: A novel contrast and saturation prior for image dehazing. Vis. Comput. (2022). https://doi.org/10.1007/s00371-022-02694-w

4. Cai, B.L., Xu, X.M., Jia, K., et al.: Dehazenet: an end-to-end system for single image haze removal. IEEE Trans. Image Process. 25(11), 5187–5198 (2016)

5. Yang, J., Jiang, B., Lv, Z., et al.: A real-time image dehazing method considering dark channel and statistics features. J. Real Time Image Proc. 13, 479–490 (2017). https://doi.org/10.1007/s11554-017-0671-x

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