Channel Self-Attention Based Low-Light Image Enhancement Network

Y Wang, P Su, X Pan, H Wang, Y Gao - Computers & Graphics, 2024 - Elsevier
Low-light image enhancement is crucial in applications such as traffic safety and medical
imaging. Besides having characteristics like low luminance and poor visibility, low-light …

FRR-NET: a fast reparameterized residual network for low-light image enhancement

Y Chen, G Zhu, X Wang, H Yang - Signal, Image and Video Processing, 2024 - Springer
Low-light image enhancement algorithm is an important branch in the field of image
enhancement algorithms. To solve the problem of severe feature degradation in enhanced …

Self-Supervised Normalizing Flow for Jointing Low-Light Enhancement and Deblurring

L Li, C Zhu, J Chen, B Shi, Q Lian - Circuits, Systems, and Signal …, 2024 - Springer
Low-light image enhancement algorithms have been widely developed. Nevertheless, using
long exposure under low-light conditions will lead to motion blurs of the captured images …

The feature enhancement method of artistic images based on histogram equalization and bilateral filtering

W Zhang - PeerJ Computer Science, 2024 - peerj.com
To improve the rendering effect of artistic images, a method enhancing features of artistic
images is proposed based on histogram equalization and bilateral filtering in the article …

Target detection in underground mines based on low-light image enhancement

S Zhan, S Li, H Guo, J Li, Z Wu - 2024 - researchsquare.com
The working environment in underground mines is complex, with extreme conditions such
as dim lighting, high dust levels, and high humidity, leading to difficulties in feature …