Image Fusion (1st ed. 2020)

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 vehicles.

Further, it introduces readers to a new category: edge-preserving-based image fusion, and provides an overview of image fusion based on machine learning and deep learning.

As such, it is a valuable resource for graduate students and scientists in the field of digital image processing and information fusion.