Combating bad weather. Part II, Fog removal from image and video /

Bibliographic Details
Main Authors: Mukhopadhyay, Sudipta (Author), Tripathi, Abhishek Kumar (Author)
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.