Name
Title | ||
|---|---|---|
A variational framework for single low light image enhancement using bright channel prior |
Abstract | ||
|---|---|---|
Low light image enhancement is prerequisite in many fields, such as surveillance systems, road safety and waterway transport. In this paper, a new variational framework using bright channel prior is proposed to address the low light image enhancement problem within a single image. An alternating direction optimization method is employed to solve the variational problem. Experiment results show that the new method can better eliminate the black halo and suppressing the issues of over-enhancement and color distortion when compared with other existing methods. |
Year | DOI | Venue |
|---|---|---|
2013 | 10.1109/GlobalSIP.2013.6737082 | GlobalSIP |
Keywords | Field | DocType |
optimisation,variational techniques,black halo elimination,over-enhancement suppression,low light image enhancement,single-low-light image enhancement,retinex,variational framework,bright channel prior,alternating direction optimization,image enhancement,color distortion suppression,alternating direction optimization method,image colour analysis | Computer vision,Data processing,Computer science,Communication channel,Artificial intelligence,Halo,Distortion | Conference |
ISSN | Citations | PageRank |
2376-4066 | 7 | 0.49 |
References | Authors | |
7 | 5 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Xueyang Fu | 1 | 354 | 29.09 |
| Delu Zeng | 2 | 164 | 11.46 |
| Yue Huang | 3 | 317 | 29.82 |
| Xinghao Ding | 4 | 591 | 52.95 |
| Xiao-ping Zhang | 5 | 951 | 100.51 |