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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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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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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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SNR-Aware Low-light Image Enhancement
2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2022Xiaogang Xu 0002 +3 more
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A Variational Model for Nonuniform Low-Light Image Enhancement
SIAM Journal on Imaging ScienceszbMATH Open Web Interface contents unavailable due to conflicting licenses.
Fan Jia 0007 +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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Enhancement of Low-light Images and Videos
Imaging and Applied Optics 2018 (3D, AO, AIO, COSI, DH, IS, LACSEA, LS&C, MATH, pcAOP), 2018Enhancing Low-light Images is very important for further processing such as Sign Recognition, Lane Detection, Surround View Generation and many other problems in the Advanced Driver Assistance Systems. This is also crucial for Consumer Applications such as Digital Cameras and Smart-phone Cameras.
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Low-light image enhancement with knowledge distillation
Neurocomputing, 2023Ziwen Li 0005, Yuehuan Wang, Jinpu Zhang
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