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 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. Front Matter ....Pages i-xviii Front Matter ....Pages 1-1 Introduction to Image Fusion (Gang Xiao, Durga Prasad Bavirisetti, Gang Liu, Xingchen Zhang)....Pages 3-20 Pixel-Level Image Fusion (Gang Xiao, Durga Prasad Bavirisetti, Gang Liu, Xingchen Zhang)....Pages 21-101 Feature-Level Image Fusion (Gang Xiao, Durga Prasad Bavirisetti, Gang Liu, Xingchen Zhang)....Pages 103-147 Decision-Level Image Fusion (Gang Xiao, Durga Prasad Bavirisetti, Gang Liu, Xingchen Zhang)....Pages 149-170 Multi-sensor Dynamic Image Fusion (Gang Xiao, Durga Prasad Bavirisetti, Gang Liu, Xingchen Zhang)....Pages 171-296 Objective Fusion Metrics (Gang Xiao, Durga Prasad Bavirisetti, Gang Liu, Xingchen Zhang)....Pages 297-324 Image Fusion Based on Machine Learning and Deep Learning (Gang Xiao, Durga Prasad Bavirisetti, Gang Liu, Xingchen Zhang)....Pages 325-352 Front Matter ....Pages 353-353 Example 1: Medical Image Fusion (Gang Xiao, Durga Prasad Bavirisetti, Gang Liu, Xingchen Zhang)....Pages 355-373 Example 2: Night Vision Image Fusion (Gang Xiao, Durga Prasad Bavirisetti, Gang Liu, Xingchen Zhang)....Pages 375-386 Simulation Platform of Image Fusion (Gang Xiao, Durga Prasad Bavirisetti, Gang Liu, Xingchen Zhang)....Pages 387-404