Combating bad weather. Part II, Fog removal from image and 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 ;
# 17. |
| Subjects: | |
| Online Access: | Connect to the full text of this electronic book |
Table of Contents:
- 1. Introduction
- 1.1 Video post-processing
- 1.2 Motivation
- 2. Analysis of fog
- 2.1 Overview
- 2.1.1 Framework
- 3. Dataset and performance metrics
- 3.1 Foggy images and videos
- 3.2 Performance metrics
- 3.2.1 Contrast gain (Cgain)
- 3.2.2 Percentage of the number of saturated pixels
- 3.2.3 Computation time
- 3.2.4 Root mean square (RMS) error
- 3.2.5 Perceptual quality metric (PQM)
- 4. Important fog removal algorithms
- 4.1 Enhancement-based methods
- 4.2 Restoration-based methods
- 4.2.1 Multiple image-based restoration techniques
- 4.2.2 Single image-based restoration techniques
- 5. Single-image fog removal using an anisotropic diffusion
- 5.1 Introduction
- 5.2 Fog removal algorithm
- 5.2.1 Initialization of airlight map
- 5.2.2 Airlight map refinement
- 5.2.3 Behavior of anisotropic diffusion
- 5.2.4 Restoration
- 5.2.5 Post-processing
- 5.3 Simulation and results
- 5.4 Conclusion
- 6. Video fog removal framework using an uncalibrated single camera system
- 6.1 Introduction
- 6.2 Challenges of realtime implementation
- 6.3 Video fog removal framework
- 6.3.1 MPEG coding
- 6.4 Simulation and results
- 6.5 Conclusion
- 7. Conclusions and future directions
- Bibliography
- Authors' biographies.