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When enhancing low-light images, many deep learning algorithms are based on the Retinex theory.
The retinex theory of color vision
Edwin H Land · 1977
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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
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A multiscale retinex for bridging the gap between color images and the human observation of scenes
Daniel J Jobson, Zia-ur Rahman, and Glenn A Woodell · 1997
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Properties and performance of a center/surround retinex
Daniel J Jobson, Zia-ur Rahman, and Glenn A Woodell · 1997
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Contrast limited adaptive histogram equalization image processing to improve the detection of simulated spiculations in dense mammograms
Etta D Pisano, Shuquan Zong, Bradley M Hemminger, Marla DeLuca, R Eugene Johnston, Keith Muller, M Patricia Braeuning, and Stephen M Pizer · 1998
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A simple and effective histogram equalization approach to image enhancement
Heng-Da Cheng and XJ Shi · 2004
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Image quality assessment: from error visibility to structural similarity
Zhou Wang, Alan C Bovik, Hamid R Sheikh, and Eero P Simoncell · 2004
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A dynamic histogram equalization for image contrast enhancement
Mohammad Abdullah-Al-Wadud, Md Hasanul Kabir, M Ali Akber Dewan, and Oksam Chae · 2007
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A real-time image processor with combining dynamic contrast ratio enhancement and inverse gamma correction for pdp
Zhi-Guo Wang, Zhi-Hu Liang, and Chun-Liang Liu · 2009
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Learning photographic global tonal adjustment with a database of input/output image pairs
Vladimir Bychkovsky, Sylvain Paris, Eric Chan, and Frédo Durand · 2011
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Contextual and variational contrast enhancement
Turgay Celik and Tardi Tjahjadi · 2011
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Efficient contrast enhancement using adaptive gamma correction with weighting distribution
Shih-Chia Huang, Fan-Chieh Cheng, and Yi-Sheng Chiu · 2012
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Contrast enhancement based on layered difference representation of 2d histograms
Chulwoo Lee, Chul Lee, and Chang-Su Kim · 2013
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Naturalness preserved enhancement algorithm for non-uniform illumination images
Shuhang Wang, Jin Zheng, Hai-Miao Hu, and Bo Li · 2013
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Adam: A method for stochastic optimization
Diederik P. Kingma and Jimmy Lei Ba · 2015
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Perceptual quality assessment for multi-exposure image fusion
Kede Ma, Kai Zeng, and Zhou Wang · 2015
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U-net: Convolutional networks for biomedical image segmentation
Olaf Ronneberger, Philipp Fischer, Thomas Brox, a, and b · 2015
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A weighted variational model for simultaneous reflectance and illumination estimation
Xueyang Fu, Delu Zeng, Yue Huang, Xiao-Ping Zhang, and Xinghao Ding · 2016
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Lime: Low-light image enhancement via illumination map estimation
Xiaojie Guo, Yu Li, and Haibin Ling · 2016
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An adaptive gamma correction for image enhancement
Shanto Rahman, Md Mostafijur Rahman, Mohammad Abdullah-Al-Wadud, Golam Dastegir Al-Quaderi, and Mohammad Shoyaib · 2016
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Llnet: A deep autoencoder approach to natural low-light image enhancement
Kin Gwn Lore, Adedotun Akintayo, and Soumik Sarkar · 2017
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Sgdr: Stochastic gradient descent with warm restarts
Ilya Loshchilov and Frank Hutter · 2017
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Attention is all you need
Ashish Vaswani, Noam Shazeer, Niki Parmar, Jakob Uszkoreit, Llion Jones, Aidan N Gomez, Łukasz Kaiser, and Illia Polosukhin · 2017
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Learning to see in the dark
Chen Chen, Qifeng Chen, Jia Xu, and Vladlen Koltun · 2018
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Structure-revealing low-light image enhancement via robust retinex model
Mading Li, Jiaying Liu, Wenhan Yang, Xiaoyan Sun, and Zongming Guo · 2018
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Mbllen: Low-light image/video enhancement using cnns
Feifan Lv, Feng Lu, Jianhua Wu, and Chongsoon Lim · 2018
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Yolov3: An incremental improvement
Joseph Redmon and Ali Farhadi · 2018
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On the evaluation of illumination compensation algorithms
Vassilios Vonikakis, Rigas Kouskouridas, and Antonios Gasteratos · 2018
Cited alongside, same era.
Deep retinex decomposition for low-light enhancement
Chen Wei, Wenjing Wang, Wenhan Yang, and Jiaying Liu · 2018
An image is worth 16x16 words: Transformers for image recognition at scale
Alexey Dosovitskiy, Lucas Beyer, Alexander Kolesnikov, Dirk Weissenborn, Xiaohua Zhai, Thomas Unterthiner, Mostafa Dehghani, Matthias Minderer, Georg Heigold, Sylvain Gelly, Jakob Uszkoreit, and Neil Houlsby · 2021
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Generative adversarial transformers
Drew A Hudson and Larry Zitnick · 2021
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Transgan: Two pure transformers can make one strong gan, and that can scale up
Yifan Jiang, Shiyu Chang, and Zhangyang Wang · 2021
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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
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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
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Seeing motion in the dark
Chen Chen, Qifeng Chen, Minh N Do, and Vladlen Koltun · 2019
Cited alongside, same era.
Getting to know low-light images with the exclusively dark dataset
Yuen Peng Loh and Chee Seng Chan · 2019
Cited alongside, same era.
Pytorch: An imperative style, high-performance deep learning library
Adam Paszke, Sam Gross, Francisco Massa, Adam Lerer, James Bradbury, Gregory Chanan, Trevor Killeen, Zeming Lin, Natalia Gimelshein, Luca Antiga, et al · 2019
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
Cited alongside, same era.
Kindling the darkness: A practical low-light image enhancer
Yonghua Zhang, Jiawan Zhang, and Xiaojie Guo · 2019
Cited alongside, same era.
End-to-end object detection with transformers
Nicolas arion, Francisco Massa, Gabriel Synnaeve, Nicolas Usunier, Alexander Kirillov, and Sergey Zagoruyko · 2020
Cited alongside, same era.
Swin transformer: Hierarchical vision transformer using shifted windows
Ze Liu, Yutong Lin, Yue Cao, Han Hu, Yixuan Wei, Zheng Zhang, Stephen Lin, and Baining Guo · 2021
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Nighttime visibility enhancement by increasing the dynamic range and suppression of light effects
Aashish Sharma and Robby T Tan · 2021
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Seeing dynamic scene in the dark: A high-quality video dataset with mechatronic alignment
Ruixing Wang, Xiaogang Xu, Chi-Wing Fu, Jiangbo Lu, Bei Yu, and Jiaya Jia · 2021
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Visual transformers: Where do transformers really belong in vision models?
Bichen Wu, Chenfeng Xu, Xiaoliang Dai, Alvin Wan, Peizhao Zhang, Zhicheng Yan, Masayoshi Tomizuka, Joseph E. Gonzalez, Kurt Keutzer, and Peter Vajda · 2021
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Band representation-based semi-supervised low-light image enhancement: Bridging the gap between signal fidelity and perceptual quality
Wenhan Yang, Shiqi Wang, Yuming Fang, Yue Wang, and Jiaying Liu · 2021
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Sparse gradient regularized deep retinex network for robust low-light image enhancement
Wenhan Yang, Wenjing Wang, Haofeng Huang, Shiqi Wang, and Jiaying Liu · 2021
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Beyond brightening low-light images
Yonghua Zhang, Xiaojie Guo, Jiayi Ma, Wei Liu, and Jiawan Zhang · 2021
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Rethinking semantic segmentation from a sequence-to-sequence perspective with transformers
Sixiao Zheng, Jiachen Lu, Hengshuang Zhao, Xiatian Zhu, Zekun Luo, Yabiao Wang, Yanwei Fu, Jianfeng Feng, Tao Xiang, Philip H.S. Torr, and Li Zhang · 2021
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Degradation-aware unfolding half-shuffle transformer for spectral compressive imaging
Yuanhao Cai, Jing Lin, Haoqian Wang, Xin Yuan, Henghui Ding, Yulun Zhang, Radu Timofte, and Luc Van Gool · 2022
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Swin-unet: Unet-like pure transformer for medical image segmentation
Hu Cao, Yueyue Wang, Joy Chen, Dongsheng Jiang, Xiaopeng Zhang, Qi Tian, and Manning Wang · 2022
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Le-gan: unsupervised low-light image enhancement network using attention module and identity invariant loss
Ying Fu, Yang Hong, Linwei Chen, and Shaodi You · 2022
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Toward fast, flexible, and robust low-light image enhancement
Long Ma, Tengyu Ma, Risheng Liu, Xin Fan, and Zhongxuan Luo · 2022
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Uformer: A general u-shaped transformer for image restoration
Zhendong Wang, Xiaodong Cun, Jianmin Bao, and Jianzhuang Liu · 2022
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Snr-aware low-light image enhancement
Xiaogang Xu, Ruixing Wang, Chi-Wing Fu, and Jiaya Jia · 2022
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Restormer: Efficient transformer for high-resolution image restoration
Syed Waqas Zamir, Aditya Arora, Salman Khan, Munawar Hayat, Fahad Shahbaz Khan, and Ming-Hsuan Yang · 2022
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Styleswin: Transformer-based gan for high-resolution image generation
Bowen Zhang, Shuyang Gu, Bo Zhang, Jianmin Bao, Dong Chen, Fang Wen, Yong Wang, and Baining Guo · 2022
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Lednet: Joint low-light enhancement and deblurring in the dark
Shangchen Zhou, Chongyi Li, and Chen Change Loy · 2022
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