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Fusion-Based Low-Light Image Enhancement

2023
Haodian Wang   +3 more
openaire   +2 more sources

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   +2 more sources

LET: a local enhancement transformer for low-light image enhancement

Journal of Electronic Imaging
Digital images captured under insufficient lighting conditions may suffer from issues such as low contrast and poor visual quality. However, transformers treat images as one-dimensional sequential data, lacking the modeling of local visual structures, thus resulting in a shortage of feature extraction for degraded low-light images.
Lei Pan   +4 more
openaire   +1 more source

SNR-Aware Low-light Image Enhancement

2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2022
Xiaogang Xu 0002   +3 more
openaire   +2 more sources

Low-Light Image and Video Enhancement Using Deep Learning: A Survey

IEEE Transactions on Pattern Analysis and Machine Intelligence, 2022
Chen Change Loy   +2 more
exaly  

Unsupervised Low-light Image Enhancement with Generated Low-light Image Pairs

Poster Volume Ⅰ The 2024 Twentieth International Conference on Intelligent Computing August 5-8, 2024 Tianjin, China
Low-light image enhancement aims to improve the perception of images captured under low-light conditions. Many previous unsupervised methods rely solely on information from a single image and multiple priors for enhancement. However, the information within a single image is limited, and designing suitable priors could be challenging.
openaire   +1 more source

Sparse Gradient Regularized Deep Retinex Network for Robust Low-Light Image Enhancement

IEEE Transactions on Image Processing, 2021
Jiaying Liu, Wenhan Yang, Shiqi Wang
exaly  

Better Than Reference in Low-Light Image Enhancement: Conditional Re-Enhancement Network

IEEE Transactions on Image Processing, 2022
Xiaoguang Di, Yu Zhang, Bin Zhang
exaly  

Perceptual Quality Assessment of Low-Light Image Enhancement

ACM Transactions on Multimedia Computing, Communications and Applications, 2021
Xiongkuo Min, Wei Sun, Guangtao Zhai
exaly  

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