Overview
Covers a range of fundamental and advanced topics in image fusion
Introduces a new category of fusion techniques called edge preserving based image fusion
Presents various applications of image fusion in medical imaging, remote sensing, night vision, robotics, autonomous vehicles (such as car, drones, etc.), visual inspection in industrial plants, visual surveillance and ambient intelligence, and person re-identification
Provides an overview of image fusion based on machine learning and deep learning
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Table of contents (10 chapters)
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Front Matter
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Experimental Examples
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Front Matter
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Keywords
About this book
Authors and Affiliations
About the authors
Durga Prasad Bavirisetti received both M. Tech and Ph.D. degrees from the VIT University, India, in 2012 and 2016 respectively. Currently, he is pursuing post-doctoral studies at the School of Aeronautics and Astronautics, Shanghai Jiao Tong University, China, and is a member of the Advanced Avionics and Intelligent Information (AAII) Laboratory. He has published his research on image fusion in several leading journals and conferences. Dr. Durga Prasad serves as a reviewer for Information Fusion, IEEE Transactions on Multimedia, IEEE Transactions on Instrumentation and Measurement, IEEE Sensors, Infrared Physics and Technology, Neurocomputing, and the International Journal of Imaging Systems & Technology. His research interests focus on image fusion, target detection and tracking.
Gang Liu is a Full Professor at the School of Automation Engineering, Shanghai University of Electrical Power. He received his PhD degree from Shanghai Jiao Tong University in 2005. His research interests include image fusion, pattern recognition and machine learning.
Xingchen Zhang received his B.Sc. degree from the Huazhong University of Science and Technology in 2012, and his Ph.D. degree from the Queen Mary University of London in 2017. He is currently a Postdoctoral Research Fellow at the School of Aeronautics and Astronautics, Shanghai Jiao Tong University, China. He is a member of the Advanced Avionics and Intelligent Information (AAII) Laboratory. His current research interests include object fusion tracking, image fusion, deep learning, and computer vision.
Bibliographic Information
Book Title: Image Fusion
Authors: Gang Xiao, Durga Prasad Bavirisetti, Gang Liu, Xingchen Zhang
DOI: https://doi.org/10.1007/978-981-15-4867-3
Publisher: Springer Singapore
eBook Packages: Computer Science, Computer Science (R0)
Copyright Information: Springer Nature Singapore Pte Ltd. and Shanghai Jiao Tong University Press 2020
Hardcover ISBN: 978-981-15-4866-6Published: 01 September 2020
Softcover ISBN: 978-981-15-4869-7Published: 01 September 2021
eBook ISBN: 978-981-15-4867-3Published: 31 August 2020
Edition Number: 1
Number of Pages: XVIII, 404
Number of Illustrations: 155 b/w illustrations, 76 illustrations in colour
Additional Information: Jointly published with Shanghai Jiao Tong University Press, Shanghai, China