The following publications are possibly variants of this publication:
- The Modified Unsupervised Low-Light Image Enhancement Approach Based on the Retinex TheoryYingchun Zhang, Shan Jiang, Xuan Liu. ithings 2023: 431-436 [doi]
- Retinex-based Low-Light Image EnhancementRui Luo, Yan Feng, Mingxin He, Yuliang Zhang. apsipa 2023: 1429-1434 [doi]
- Light-weight Zero-Reference-based Image Enhancement for Low-Light ImagesJie-Fan Chang, Kuan-Ting Lai, Cheng-Xuan Zhuang, Guo-Shiang Lin, Ku-Yaw Chang. apsipa 2023: 748-752 [doi]
- An Improved Method to Enhance Low Illumination Image Based on Retinex TheoryBo Fu, Huijie Fan, Qingxuan Rong. csai 2020: 97-101 [doi]
- Low Illumination Color Image Enhancement Based on Improved Retinex TheoryPing Wang, Zhiwen Wang, Dong Lv, Canlong Zhang, Yuhang Wang. eitce 2020: 334-339 [doi]
- Low illumination color image enhancement based on Gabor filtering and Retinex theoryPing Wang, Zhiwen Wang, Dong Lv, Chanlong Zhang, Yuhang Wang. mta, 80(12):17705-17719, 2021. [doi]
- Feature Based Deep Retinex for Low-Light Image EnhancementHuabao Zhong, Zhang Fan, Liyin Xie, Xu Bin, Junliang Wang, Guijun Liu, Dong Lin. icaip 2020: 66-71 [doi]