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Low-Light Image Enhancement is a computer vision task which intensifies the dark images to appropriate brightness.
“Adaptive histogram equalization and its variations,”
Stephen M Pizer, E Philip Amburn, John D Austin, Robert Cromartie, Ari Geselowitz, Trey Greer, Bart ter Haar Romeny, John B Zimmerman, and Karel Zuiderveld, · 1987
Earlier work this paper cites.
“Multi-scale retinex for color image enhancement,”
Zia-ur Rahman, Daniel J Jobson, and Glenn A Woodell, · 1996
Earlier work this paper cites.
“Contrast enhancement using brightness preserving bi-histogram equalization,”
Yeong-Taeg Kim, · 1997
Earlier work this paper cites.
“Single image haze removal using dark channel prior,”
Kaiming He, Jian Sun, and Xiaoou Tang, · 2010
Earlier work this paper cites.
“Learning photographic global tonal adjustment with a database of input/output image pairs,”
Vladimir Bychkovsky, Sylvain Paris, Eric Chan, and Frédo Durand, · 2011
Earlier work this paper cites.
“U-net: Convolutional networks for biomedical image segmentation,”
Olaf Ronneberger, Philipp Fischer, and Thomas Brox, · 2015
Earlier work this paper cites.
“Lime: Low-light image enhancement via illumination map estimation,”
Xiaojie Guo, Yu Li, and Haibin Ling, · 2016
Earlier work this paper cites.
“M-net: A convolutional neural network for deep brain structure segmentation,”
Raghav Mehta and Jayanthi Sivaswamy, · 2017
Earlier work this paper cites.
“Deep bilateral learning for real-time image enhancement,”
Michaël Gharbi, Jiawen Chen, Jonathan T Barron, Samuel W Hasinoff, and Frédo Durand, · 2017
Earlier work this paper cites.
“Residual dense network for image super-resolution,”
Yulun Zhang, Yapeng Tian, Yu Kong, Bineng Zhong, and Yun Fu, · 2018
Earlier work this paper cites.
“Squeeze-and-excitation networks,”
Jie Hu, Li Shen, and Gang Sun, · 2018
Earlier work this paper cites.
“The unreasonable effectiveness of deep features as a perceptual metric,”
Richard Zhang, Phillip Isola, Alexei A Efros, Eli Shechtman, and Oliver Wang, · 2018
Cited alongside, same era.
“Deep retinex decomposition for low-light enhancement,”
Chen Wei, Wenjing Wang, Wenhan Yang, and Jiaying Liu, · 2018
Cited alongside, same era.
“Deep retinex decomposition for low-light enhancement,”
Chen Wei, Wenjing Wang, Wenhan Yang, and Jiaying Liu, · 2018
Cited alongside, same era.
“Gladnet: Low-light enhancement network with global awareness,”
Wenjing Wang, Chen Wei, Wenhan Yang, and Jiaying Liu, · 2018
Cited alongside, same era.
“Exposure: A white-box photo post-processing framework,”
Yuanming Hu, Hao He, Chenxi Xu, Baoyuan Wang, and Stephen Lin, · 2018
Cited alongside, same era.
“Underexposed photo enhancement using deep illumination estimation,”
Ruixing Wang, Qing Zhang, Chi-Wing Fu, Xiaoyong Shen, Wei-Shi Zheng, and Jiaya Jia, · 2019
Later among the works it cites.
“Learning enriched features for real image restoration and enhancement,”
Syed Waqas Zamir, Aditya Arora, Salman Khan, Munawar Hayat, Fahad Shahbaz Khan, Ming-Hsuan Yang, and Ling Shao, · 2020
Later among the works it cites.
“Cycleisp: Real image restoration via improved data synthesis,”
Syed Waqas Zamir, Aditya Arora, Salman Khan, Munawar Hayat, Fahad Shahbaz Khan, Ming-Hsuan Yang, and Ling Shao, · 2020
Later among the works it cites.
“Zero-reference deep curve estimation for low-light image enhancement,”
Chunle Guo, Chongyi Li, Jichang Guo, Chen Change Loy, Junhui Hou, Sam Kwong, and Runmin Cong, · 2020
Later among the works it cites.
“From fidelity to perceptual quality: A semi-supervised approach for low-light image enhancement,”
Wenhan Yang, Shiqi Wang, Yuming Fang, Yue Wang, and Jiaying Liu, · 2020
Later among the works it cites.
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“Distort-and-recover: Color enhancement using deep reinforcement learning,”
Jongchan Park, Joon-Young Lee, Donggeun Yoo, and In So Kweon, · 2018
Cited alongside, same era.
“Deep photo enhancer: Unpaired learning for image enhancement from photographs with gans,”
Yu-Sheng Chen, Yu-Ching Wang, Man-Hsin Kao, and Yung-Yu Chuang, · 2018
Cited alongside, same era.
“Ntire 2019 challenge on image enhancement: Methods and results,”
Andrey Ignatov and Radu Timofte, · 2019
Cited alongside, same era.
“Landscape and dynamics of single immune cells in hepatocellular carcinoma,”
Qiming Zhang, Yao He, Nan Luo, Shashank J Patel, Yanjie Han, Ranran Gao, Madhura Modak, Sebastian Carotta, Christian Haslinger, David Kind, et al., · 2019
Cited alongside, same era.
“Fpd-m-net: Fingerprint image denoising and inpainting using m-net based convolutional neural networks,”
Sukesh Adiga and Jayanthi Sivaswamy, · 2019
Cited alongside, same era.
“Beyond brightening low-light images,”
Yonghua Zhang, Xiaojie Guo, Jiayi Ma, Wei Liu, and Jiawan Zhang, · 2021
Later among the works it cites.
“Retinex-inspired unrolling with cooperative prior architecture search for low-light image enhancement,”
Risheng Liu, Long Ma, Jiaao Zhang, Xin Fan, and Zhongxuan Luo, · 2021
Later among the works it cites.
“Low-light image enhancement with normalizing flow,”
Yufei Wang, Renjie Wan, Wenhan Yang, Haoliang Li, Lap-Pui Chau, and Alex C Kot, · 2021
Later among the works it cites.
“Hinet: Half instance normalization network for image restoration,”
Liangyu Chen, Xin Lu, Jie Zhang, Xiaojie Chu, and Chengpeng Chen, · 2021
Later among the works it cites.
“Enlightengan: Deep light enhancement without paired supervision,”
Yifan Jiang, Xinyu Gong, Ding Liu, Yu Cheng, Chen Fang, Xiaohui Shen, Jianchao Yang, Pan Zhou, and Zhangyang Wang, · 2021
Later among the works it cites.