Results 281 to 290 of about 850,785 (317)

GLARE: Low Light Image Enhancement via Generative Latent Feature based Codebook Retrieval

European Conference on Computer Vision
Most existing Low-light Image Enhancement (LLIE) methods either directly map Low-Light (LL) to Normal-Light (NL) images or use semantic or illumination maps as guides.
Han Zhou, Wei Dong, Xiaohong Liu, Shuaicheng Liu, Xiongkuo Min, Guangtao Zhai, Jun Chen   +6 more
semanticscholar   +1 more source

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, Minjae Kim, Bonhwa Ku, Sangmin Yoon, David K. Han   +4 more
openaire   +1 more source

Retinex-based Low-Light Image Enhancement

2023 Asia Pacific Signal and Information Processing Association Annual Summit and Conference (APSIPA ASC), 2023
Rui Luo, Yan Feng, Mingxin He, Yuliang Zhang   +3 more
openaire   +1 more source

LYT-NET: Lightweight YUV Transformer-Based Network for Low-Light Image Enhancement

IEEE Signal Processing Letters
This letter introduces LYT-Net, a novel lightweight transformer-based model for low-light image enhancement. LYT-Net consists of several layers and detachable blocks, including our novel blocks—Channel-Wise Denoiser (CWD) and Multi-Stage Squeeze & Excite
Alexandru Brateanu, Raul Balmez, Adrian Avram, Ciprian Orhei, Cosmin Ancuți   +4 more
semanticscholar   +1 more source

Low-Light Image Enhancement With Multi-Scale Attention and Frequency-Domain Optimization

IEEE transactions on circuits and systems for video technology (Print)
Low-light image enhancement aims to improve the perceptual quality of images captured in conditions of insufficient illumination. However, such images are often characterized by low visibility and noise, making the task challenging. Recently, significant
Zhiquan He, Wu Ran, Shulin Liu, Ke Li, Jiawen Lu, Changyong Xie, Yong Liu, Hong Lu   +7 more
semanticscholar   +1 more source

Polarization-Aware Low-Light Image Enhancement for Nighttime Intelligent Vehicles

IEEE Transactions on Intelligent Vehicles
Polarization-basedenvironmental perception is essential for intelligent vehicles. However, images taken in low-light conditions often have poor visibility.
Yang Lu, Jiandong Tian, Yiming Su, Jiawei Liu, Chunhui Hao, C. Yue, Xin Yang   +6 more
semanticscholar   +1 more source

Enhancement methodology for low light image

Proceedings of International Conference on Artificial Life and Robotics, 2023
Xiwen Liang, Xiaoyan Chen
openaire   +1 more source

Exemplar-guided low-light image enhancement

Multimedia Systems, 2022
Yangming Shi, Xiaopo Wu, Binquan Wang, Ming Zhu   +3 more
openaire   +1 more source

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

IEEE Transactions on Pattern Analysis and Machine Intelligence, 2022
Chong-Yi Li, Chunle Guo, Jun Jiang
exaly  

Low-Light Image Enhancement via Progressive-Recursive Network

IEEE Transactions on Circuits and Systems for Video Technology, 2021
Jinjiang Li, F Xm, Zhen Hua
exaly