Combating bad weather. Part I, Rain removal from video /
| Main Authors: | , |
|---|---|
| Format: | eBook |
| Language: | English |
| Published: |
San Rafael, California (1537 Fourth Street, San Rafael, CA 94901 USA) :
Morgan & Claypool,
2015.
|
| Series: | Synthesis lectures on image, video, and multimedia processing ;
# 16. |
| Subjects: | |
| Online Access: | Connect to the full text of this electronic book |
Table of Contents:
- 1. Introduction
- 1.1 Motivation
- 2. Analysis of rain
- 2.1 Shape of a raindrop
- 2.2 Size of a raindrop
- 2.3 Velocity of raindrop
- 2.4 Rain appearance
- 3. Dataset and performance metrics
- 3.1 Rain dataset
- 3.2 Performance metrics
- 3.2.1 Miss, false detection and error
- 3.2.2 Rain removal accuracy
- 3.2.3 Variance
- 4. Important rain detection algorithms
- 4.1 Framework
- 4.2 Selected rain detection algorithms
- 4.2.1 Time domain-based approach
- 4.2.2 Frequency domain-based approach
- 5. Probabilistic approach for detection and removal of rain
- 5.1 Introduction
- 5.2 Temporal analysis of pixel intensity
- 5.3 Rain removal algorithm
- 5.3.1 Detection of rain
- 5.3.2 Inpainting of rain pixels
- 5.4 Spatiotemporal detection
- 5.5 Database
- 5.6 Simulation and results
- 5.7 Conclusion
- 6. Impact of camera motion on detection of rain
- 6.1 Introduction
- 6.2 Rain candidates selection
- 6.3 Global motion parameters
- 6.4 Database
- 6.5 Simulation and results
- 6.6 Conclusion
- 7. Meteorological approach for detection and removal of rain from videos
- 7.1 Introduction
- 7.2 Statistical model of raindrop
- 7.2.1 Dynamics of raindrop
- 7.2.2 3D to 2D projection
- 7.3 Detection and removal of rain streaks
- 7.3.1 Rain candidates selection
- 7.3.2 Identifying potential rain candidates
- 7.3.3 Inpainting of rain pixels
- 7.4 Summary of the algorithm
- 7.5 Database
- 7.6 Simulation and results
- 7.7 Conclusion
- 8. Conclusion and scope of future work
- Bibliography
- Authors' biographies.