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Benchmarking Low-Light Image Enhancement and Beyond
International Journal of Computer Vision, 2021In this paper, we present a systematic review and evaluation of existing single-image low-light enhancement algorithms. Besides the commonly used low-level vision oriented evaluations, we additionally consider measuring machine vision performance in the low-light condition via face detection task to explore the potential of joint optimization of high ...
Jiaying Liu, Wenhan Yang, Dejia Xu
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Semantically-guided low-light image enhancement
Pattern Recognition Letters, 2020Abstract Recently, extensive research efforts have been made on low-light image enhancement. Many novel models have been proposed, such as the ones based on the Retinex theory, multiple exposure fusion, and deep neural networks. However, current models do not directly consider the semantic information in the modeling process.
Junyi Xie +5 more
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Polarization-Aware Low-Light Image Enhancement
Proceedings of the AAAI Conference on Artificial Intelligence, 2023Polarization-based vision algorithms have found uses in various applications since polarization provides additional physical constraints. However, in low-light conditions, their performance would be severely degenerated since the captured polarized images could be noisy, leading to noticeable degradation in the degree of polarization (DoP) and the ...
Chu Zhou +5 more
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Image enhancement for extremely low light conditions
2014 11th IEEE International Conference on Advanced Video and Signal Based Surveillance (AVSS), 2014In this paper, a novel methodology is proposed for contrast enhancement and noise reduction in very noisy data with low dynamic range on images captured by surveillance camera under extremely low light condition. For the initial noise reduction, a motion adaptive temporal filtering based on the Kalman filter is employed.
Dubok Park +4 more
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Lightening Network for Low-Light Image Enhancement
IEEE Transactions on Image Processing, 2020Low-light image enhancement is a challenging task that has attracted considerable attention. Pictures taken in low-light conditions often have bad visual quality. To address the problem, we regard the low-light enhancement as a residual learning problem that is to estimate the residual between low- and normal-light images.
Li-Wen Wang +3 more
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Low-Light Stereo Image Enhancement
IEEE Transactions on Multimedia, 2023Jie Huang 0017 +4 more
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Semi-Supervised Learning for Low-Light Image Enhancement by Pseudo Low-Light Image
2023 16th International Congress on Image and Signal Processing, BioMedical Engineering and Informatics (CISP-BMEI), 2023Shuo Xie +4 more
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A Variational Model for Nonuniform Low-Light Image Enhancement
SIAM Journal on Imaging SciencesAbstract. Low-light image enhancement plays an important role in computer vision applications, which is a fundamental low-level task and can affect high-level computer vision tasks. To solve this ill-posed problem, a lot of methods have been proposed to enhance low-light images.
Fan Jia 0007 +3 more
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Exemplar-guided low-light image enhancement
Multimedia Systems, 2022Yangming Shi +3 more
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Retinex-based Low-Light Image Enhancement
2023 Asia Pacific Signal and Information Processing Association Annual Summit and Conference (APSIPA ASC), 2023Rui Luo +3 more
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