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Image enhancement for extremely low light conditions

2014 11th IEEE International Conference on Advanced Video and Signal Based Surveillance (AVSS), 2014
In 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
openaire   +1 more source

Lightening Network for Low-Light Image Enhancement

IEEE Transactions on Image Processing, 2020
Low-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
openaire   +2 more sources

Low-Light Stereo Image Enhancement

IEEE Transactions on Multimedia, 2023
Jie Huang 0017   +4 more
openaire   +1 more source

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), 2023
Shuo Xie   +4 more
openaire   +1 more source

A Variational Model for Nonuniform Low-Light Image Enhancement

SIAM Journal on Imaging Sciences
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Fan Jia 0007   +3 more
openaire   +2 more sources

Exemplar-guided low-light image enhancement

Multimedia Systems, 2022
Yangming Shi   +3 more
openaire   +1 more source

Enhancement of Low-light Images and Videos

Imaging and Applied Optics 2018 (3D, AO, AIO, COSI, DH, IS, LACSEA, LS&C, MATH, pcAOP), 2018
Enhancing 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.
openaire   +1 more source

Low-light image enhancement with knowledge distillation

Neurocomputing, 2023
Ziwen Li 0005, Yuehuan Wang, Jinpu Zhang
openaire   +1 more source

Fusion-Based Low-Light Image Enhancement

2023
Haodian Wang   +3 more
openaire   +1 more source

Perceptual Quality Assessment of Low-light Image Enhancement

ACM Transactions on Multimedia Computing, Communications and Applications, 2021
Guangtao Zhai   +2 more
exaly  

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