Learning Multi-scale Retinex with Residual Network for Low-Light Image Enhancement

Author:

Ma Long,Lin Jie,Shang Jingjie,Zhong Wei,Fan Xin,Luo Zhongxuan,Liu Risheng

Publisher

Springer International Publishing

Reference20 articles.

1. Li, C., Guo, J., Porikli, F., Pang, Y.: Lightennet: a convolutional neural network for weakly illuminated image enhancement. PRL 104, 15–22 (2018)

2. Jiang, Y., Gong, X., Liu, D., et al.: Enlightengan: deep light enhancement without paired supervision. arXiv preprint arXiv:1906.06972 (2019)

3. Wang, R., Zhang, Q., Fu, C.-W., Shen, X., Zheng, W.-S., Jia, J.: Underexposed photo enhancement using deep illumination estimation. In: CVPR, pp. 6849–6857 (2019)

4. Jobson, D.J., Rahman, Z., Woodell, G.A.: Properties and performance of a center/surround retinex. IEEE TIP 6(3), 451–462 (1997)

5. Rahman, Z., Jobson, D.J., Woodell, G.A.: Multi-scale retinex for color image enhancement. In: ICIP, pp.1003–1006 (1996)

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