LIME: Low-Light Image Enhancement via Illumination Map Estimation
Work
Year: 2016
Type: article
Abstract: When one captures images in low-light conditions, the images often suffer from low visibility. Besides degrading the visual aesthetics of images, this poor quality may also significantly degenerate th... more
Authors Xiaojie Guo, Yu Li, Haibin Ling
Institutions Institute of Information Engineering, Chinese Academy of Sciences, Advanced Digital Sciences Center, Temple University
Cites: 50
Cited by: 2,061
Related to: 10
FWCI: 34.69
Citation percentile (by year/subfield): 93.97
Topic: Image Enhancement Techniques
Subfield: Computer Vision and Pattern Recognition
Field: Computer Science
Domain: Physical Sciences
Open Access status: bronze
Funders National Science Foundation, National Science Foundation, National Natural Science Foundation of China
Grant IDS IIS-1350521, CNS-1618398, 61402467