Dual-band low-light image enhancement
Author:
Funder
National Natural Science Foundation of China
Publisher
Springer Science and Business Media LLC
Link
https://link.springer.com/content/pdf/10.1007/s00530-024-01298-9.pdf
Reference46 articles.
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3. Li, J., Feng, X., Hua, Z.: Low-light image enhancement via progressive-recursive network. IEEE Trans. Circ. Syst. Video Technol. 31(11), 4227–4240 (2021)
4. Yang, M., Nie, X., Liu, R.W.: Coarse-to-fine luminance estimation for low-light image enhancement in maritime video surveillance. In: 2019 IEEE Intelligent Transportation Systems Conference (ITSC), pp. 299–304 (2019)
5. Li, G., Yang, Y., Qu, X., Cao, D., Li, K.: A deep learning based image enhancement approach for autonomous driving at night. Knowl.-Based Syst. 213, 106617 (2021)
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