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Detailed-based dictionary learning for low-light image enhancement using camera response model for industrial applications. [PDF]
Sci RepGoyal B +6 more
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VELIE: A Vehicle-Based Efficient Low-Light Image Enhancement Method for Intelligent Vehicles. [PDF]
Sensors (Basel)Ye L, Wang D, Yang D, Ma Z, Zhang Q.
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Enhanced low-light image fusion through multi-stage processing with Bayesian analysis and quadratic contrast function. [PDF]
Sci RepSharma AM +6 more
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Beyond Brightening Low-light Images
International Journal of Computer Vision, 2021Images captured under low-light conditions often suffer from (partially) poor visibility. Besides unsatisfactory lightings, multiple types of degradation, such as noise and color distortion due to the limited quality of cameras, hide in the dark. In other words, solely turning up the brightness of dark regions will inevitably amplify pollution.
Yonghua Zhang +4 more
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Image correlation at low light levels
Optics Letters, 1985Low-light-level input images are cross correlated with a classical intensity reference image that is stored in computer memory. Experimental measurements of the correlation signal, obtained using a two-dimensional, photon-counting detector and position-computing electronics, are reported.
G M, Morris, M N, Wernick, T A, Isberg
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Image classification at low light levels
Journal of the Optical Society of America A, 1986At low light levels, a two-dimensional photon-counting detector may be employed to provide an estimate of the cross-correlation between an input image and a set of reference images stored in computer memory. Recent experiments1,2 have demonstrated that in many cases, a small number of detected photoevents is sufficient to yield reliable image ...
Miles N. Wernick, G. Michael Morris
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The influence of low light level ICCD image on low light level and infrared image fusion
SPIE Proceedings, 2016The fusion of low light level and infrared images can synthesize the advantages of low light level imaging and infrared imaging, to make the details of the scene and targets richer. The quality of low light level and infrared images are the prerequisites to ensure the quality of fused image.
Qing-ping Hu, Xiao-hui Zhang, Chao Liu
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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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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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