Results 11 to 20 of about 819,645 (117)

Nonlinear Deblurring for Low-Light Saturated Image

Sensors, 2023
Single image deblurring has achieved significant progress for natural daytime images. Saturation is a common phenomenon in blurry images, due to the low light conditions and long exposure times. However, conventional linear deblurring methods usually deal with natural blurry images well but result in severe ringing artifacts when recovering low-light ...
Shuning Cao, Yi Chang 0002, Shengqi Xu, Houzhang Fang, Luxin Yan   +4 more
openaire   +3 more sources

Low-Light Image Enhancement with Normalizing Flow

Proceedings of the AAAI Conference on Artificial Intelligence, 2022
To enhance low-light images to normally-exposed ones is highly ill-posed, namely that the mapping relationship between them is one-to-many. Previous works based on the pixel-wise reconstruction losses and deterministic processes fail to capture the complex conditional distribution of normally exposed images, which results in improper brightness ...
Yufei Wang 0006, Renjie Wan, Wenhan Yang, Haoliang Li, Lap-Pui Chau, Alex C. Kot   +5 more
openaire   +2 more sources

Troublemaker Learning for Low-Light Image Enhancement

Proceedings of the 2025 International Conference on Multimedia Retrieval
Low-light image enhancement (LLIE) restores the color and brightness of underexposed images. Supervised methods suffer from high costs in collecting low/normal-light image pairs. Unsupervised methods invest substantial effort in crafting complex loss functions.
Yinghao Song, Hao Ma, Bo Yang 0002, Yanchun Liang 0001, Hongwei Ge, Heow Pueh Lee, Chunguo Wu   +6 more
openaire   +3 more sources

DarkIR: Robust Low-Light Image Restoration

2025 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)
Photography during night or in dark conditions typically suffers from noise, low light and blurring issues due to the dim environment and the common use of long exposure. Although Deblurring and Low-light Image Enhancement (LLIE) are related under these conditions, most approaches in image restoration solve these tasks separately.
Daniel Feijoo, Juan C. Benito, Álvaro García, Marcos V. Conde   +3 more
openaire   +2 more sources

Retinex-based low-light image enhancement with multi-channel feature optimization. [PDF]

Sci Prog
Wang Z, Qiao Y, Cang Y.
europepmc   +1 more source

Low-Light Image Segmentation on Edge Computing System. [PDF]

Sensors (Basel)
Choi SC, Kim SY.
europepmc   +1 more source

Task-Aware Low-Light Image Enhancement Method for Underground Coal Mine Monitoring. [PDF]

Sensors (Basel)
Yan Z, Li Y, Wang H, Jin Z, Tao L, Geng Y.   +5 more
europepmc   +1 more source

BézierCE: Low-Light Image Enhancement via Zero-Reference Bézier Curve Estimation. [PDF]

Sensors (Basel), 2023
Gao X, Zhao K, Han L, Luo J.
europepmc   +1 more source

Multi-branch low-light image iterative enhancement network. [PDF]

Sci Rep
Dou Y, Gao Y, Gao M, Zhao S, Zeng C.
europepmc   +1 more source

MSSA-Net: Multi-Modal Structural and Semantic-Adaptive Network for Low-Light Image Enhancement. [PDF]

Sensors (Basel)
Chen T, Wang X, Zhang T, Zhou Q.
europepmc   +1 more source