A novel multi-scale fusion framework for detail-preserving low-light image enhancement

Y Xu, C Yang, B Sun, X Yan, M Chen - Information Sciences, 2021 - Elsevier
In this paper, we propose a novel multi-scale fusion framework for low-illumination image
enhancement, which effectively enhances images taken under various low-light conditions …

Eemefn: Low-light image enhancement via edge-enhanced multi-exposure fusion network

M Zhu, P Pan, W Chen, Y Yang - Proceedings of the AAAI conference on …, 2020 - aaai.org
This work focuses on the extremely low-light image enhancement, which aims to improve
image brightness and reveal hidden information in darken areas. Recently, image …

Attention guided low-light image enhancement with a large scale low-light simulation dataset

F Lv, Y Li, F Lu - International Journal of Computer Vision, 2021 - Springer
Low-light image enhancement is challenging in that it needs to consider not only brightness
recovery but also complex issues like color distortion and noise, which usually hide in the …

Low-light image enhancement based on maximal diffusion values

W Kim, R Lee, M Park, SH Lee - IEEE Access, 2019 - ieeexplore.ieee.org
A vast amount of pictures are taken every day by using cameras mounted on various mobile
devices. Even though the clarity of such acquired images has been significantly improved …

Decoupled low-light image enhancement

S Hao, X Han, Y Guo, M Wang - ACM Transactions on Multimedia …, 2022 - dl.acm.org
The visual quality of photographs taken under imperfect lightness conditions can be
degenerated by multiple factors, eg, low lightness, imaging noise, color distortion, and so on …

Structure-texture aware network for low-light image enhancement

K Xu, H Chen, C Xu, Y Jin, C Zhu - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
Global structure and local detailed texture have different effects on image enhancement
tasks. However, most existing works treated these two components in the same way, without …

Unsupervised low-light image enhancement using bright channel prior

H Lee, K Sohn, D Min - IEEE Signal Processing Letters, 2020 - ieeexplore.ieee.org
Recent approaches for low-light image enhancement achieve excellent performance
through supervised learning based on convolutional neural networks. However, it is still …

Low-light image enhancement with semi-decoupled decomposition

S Hao, X Han, Y Guo, X Xu… - IEEE transactions on …, 2020 - ieeexplore.ieee.org
Low-light image enhancement is important for high-quality image display and other visual
applications. However, it is a challenging task as the enhancement is expected to improve …

TBEFN: A two-branch exposure-fusion network for low-light image enhancement

K Lu, L Zhang - IEEE Transactions on Multimedia, 2020 - ieeexplore.ieee.org
Images obtained under low-light conditions are usually accompanied by varied and highly
unpredictable degradation. The uncertainty of the imaging environment makes the …

Low-light image enhancement via progressive-recursive network

J Li, X Feng, Z Hua - … Transactions on Circuits and Systems for …, 2021 - ieeexplore.ieee.org
Low-light images have low brightness and contrast, which presents a huge obstacle to
computer vision tasks. Low-light image enhancement is challenging because multiple …