弱光圖像、過亮圖像增強算法文章收集
接下來幾天要收集些過暗、過亮圖像處理的論文了。
但一時又不能一下都找到，而且也不知道好壞（這裏的好壞是指引用率了，其實能做出工作寫成文章的都很好，尊重每一位學者的研究成果）。所以，這篇博客就持續更新着吧，關於文章的一些細節也會及時更新。
Low-Light
[2019] Attention-guided Low-light Image Enhancement
[2019] EnlightenGAN: Deep Light Enhancement without Paired Supervision
[2020 WACV] An Extended Exposure Fusion and its Application toSingle Image Contrast Enhancement
[2020 WACV] Supervised and Unsupervised Learning of Parameterized Color Enhancement
[2019 ACM MM] Kindling the Darkness:A Practical Low-light Image Enhancer
[2019 CVPR] Underexposed Photo Enhancement using Deep Illumination Estimation
[2019 CVPR] Deep photo enhancer: Unpaired learning for image enhancement from photographs with GANs
[2019 TIP] Low-light image enhancement via a deep hybrid network
[2019] Kindling the darkness: A practicallow-light image enhancer
[2018 CVPR] Deep Photo Enhancer: Unpaired Learning for Image Enhancement fromPhotographs with GANs
[2018 CVPR] Distort-and-Recover: Color Enhancement using Deep Reinforcement Learning
[2018 ACM TOG] Exposure: A White-Box Photo Post-Processing Framework
[2018 TIP] [github] Structure-Revealing Low-Light Image Enhancement via Robust Retinex Model
[2018 BMVC] [github] MBLLEN: Low-light Image/Video Enhancement Using CNNs
[2018 BMVC] Deep bilateral learning for real-time image enhancement
[32] [2018 CVPR] Learning to see in the dark
[2018 ECCVW] Perception-preserving convolutional networks for image enhancement on smart phones
[2018 CVPRW] Wespe: weakly supervised photo enhancer for digital cameras
[2017 PR] LLnet: A deep autoencoderapproach to natural low-light image enhancement
[2017 ACM TOG] Deep bilateral learning for real-time image enhancement
[2017 ICCV] Dslr-quality photos on mobile devices with deep convolutional networks
數據集：
LOL [30] : Deep Retinex Decomposition for Low-Light Enhancement. 2018 British Machine Vision Conference.
LIME [16] : LIME: Low-light Image Enhancement via Illumination Map Estimation. IEEE TIP (2017).
NPE [28] : Naturalness preserved enhancement algorithm for non-uniform illumination images. IEEE TIP (2013).
MEF [7] : Powerconstrained contrast enhancement for emissive displays based on histogram equalization. IEEE TIP (2012).
評價方法：
LOE [28] : Naturalness preserved enhancement algorithm for non-uniform illumination images. IEEE TIP (2013).
NIQE [23] : Making a completely blind image quality analyzer. IEEE Signal Processing Letters (2013).
對比方法：
BIMEF [33] : A Bio-Inspired Multi-Exposure Fusion Framework for Low-light Image Enhancement. arXiv (2017). (code)
SRIE [12] ：A Weighted Variational Model for Simultaneous Reflectance and Illumination Estimation. 2016 CVPR. (code)
CRM [34] : A New Low-Light Image Enhancement Algorithm Using Camera Response Model. 2018 ICCVW. (code)
Dong [11] : Fast efficient algorithm for enhancement of low lighting video. 2011 ICME. (code)
LIME [16] : LIME: Low-light Image Enhancement via Illumination Map Estimation. IEEE TIP (2017). (code)
MF [14] : A fusion-based enhancing method for weakly illuminated images. Signal Processing (2016). (code)
RRM [21] : Structure-Revealing Low-Light Image Enhancement Via Robust Retinex Model. IEEE TIP (2018). (code)
Retinex-Net [30] : Deep Retinex Decomposition for Low-Light Enhancement. 2018 British Machine Vision Conference. (code)
GLAD [29] : GLADNet: Low-Light Enhancement Network with Global Awareness. 2018 In IEEE International Conference on Automatic Face & Gesture Recognition. (code)
MSR [18] : A multiscale retinex for bridging the gap between color images and the human observation of scenes. IEEE TIP (2012). (code)
NPE [28] : Naturalness preserved enhancement algorithm for non-uniform illumination images. IEEE TIP (2013). (code)
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補充方法：
DeepUPE : Underexposed photo enhancement using deep illumination estimatio. 2019 CVPR. (code)
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Over-Exposure Correcting
[2018 TIP] [github] Learning a Deep Single Image Contrast Enhancer from Multi-Exposure Images
Color Clipping and Over-exposure Correction
[2014 GlobalSIP] Correction of over-exposure using color channel correlations
[2014 ICCE(c)] Correction of the overexposed region in digital color image
[2013 SJIS] Recovering Over-/Underexposed Regions in Photographs
[2013 SP] Automatic local exposure correction using bright channel prior for under-exposed images
[2012 ECCV] Automatic exposure correction of consumer photographs
[2010 CVPR] Correcting Over-Exposure in Photographs
[持續更新。。。]