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Image Fusion

This book systematically discusses the basic concepts, theories, research and latest trends in image fusion. It focuses on three image fusion categories – pixel, feature and decision – presenting various applications, such as medical imaging, remote sensing, night vision, robotics and autonomous veh...

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Main Authors: Xiao, Gang. (Author, http://id.loc.gov/vocabulary/relators/aut), Bavirisetti, Durga Prasad. (http://id.loc.gov/vocabulary/relators/aut), Liu, Gang. (http://id.loc.gov/vocabulary/relators/aut), Zhang, Xingchen. (http://id.loc.gov/vocabulary/relators/aut)
Corporate Author: SpringerLink (Online service)
Language:English
Published: Singapore : Springer Singapore : Imprint: Springer, 2020.
Edition:1st ed. 2020.
Subjects:
Optical data processing.
Image Processing and Computer Vision.
Online Access:https://doi.org/10.1007/978-981-15-4867-3
Table of Contents:
  • Preface
  • Author introduction
  • Acknowledgement
  • Part I: Image Fusion Theories
  • Chapter 1: Introduction to Image Fusion
  • Chapter 2: Pixel-level Image Fusion
  • Chapter 3: Feature-level Image Fusion
  • Chapter 4: Decision-level Image Fusion
  • Chapter 5: Multi-sensor Dynamic Image Fusion
  • Chapter 6: Objective Fusion Metrics
  • Chapter 7: Image Fusion Based on Machine Learning and Deep Learning
  • Part II: Experimental Examples
  • Chapter 8: Example 1: Medical Image Fusion
  • Chapter 9: Example 2: Night Vision image Fusion
  • Chapter 10: Simulation Platform of Image Fusion.

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