I. Introduction

II. Methods Review  
A. Selection Criteria  
B. Learning Strategies  
C. Network Structures  
D. Loss Functions  
E. Evaluation Metrics  
F. Training and Testing Data  
G. Others  

III. Datasets  

IV. Evaluations  
A. Quantitative Comparisons  
B. User Studies  
C. Qualitative Comparisons  

V. Applications  
A. Visual Surveillance  
B. Autonomous Driving  
C. Unmanned Aerial Vehicle  
D. Photography  
E. Remote Sensing  
F. Microscopic Imaging  
G. Underwater Imaging  

VI. Future Prospects  
A. Uneven Exposure  
B. Preserving and Utilizing Semantic Information  
C. Low-Light Video Enhancement  
D. Benchmark Datasets  
E. Better Evaluations Metrics  
F. Low-Light and Adverse Weather  
G. Near-Infrared (NIR) Light Techniques  
H. Noise Distribution Modeling  
I. Joint Enhancement and Detection  

VII. Conclusion