Image fusion

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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 val…

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Title Statements

Full title :Image fusion / Gang Xiao, Durga Prasad Bavirisetti, Gang Liu, Xingchen Zhang.

Summary

Edition Statements

Publication Date:Shanghai, China :

Publication Statements

Publisher(s):Shanghai Jiao Tong University Press, Springer
Place of Publication:Singapore
Language:eng
Publication Date:Shanghai, China :

The Physical Object

Description:xviii, 404 pages : : illustrations (some color) ; : 25 cm

Edition Identifiers

ISBN:9811548668, 9789811548666
oclc:on1147914673
LC Classification:TA1634
Dewey Decimal:006.3/7

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.