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Image for Image Fusion

Image Fusion (1st ed. 2020)

By: Bavirisetti, Durga Prasad Liu, Gang Xiao, Gang Zhang, Xingchen

9811548668 / 9789811548666
Published 07/11/2020
155 x 235 mm 404 pages, 92 Tables, color; 77 Illustrations, color; 153 Illustrations, black and white; XVIII, 404
Professional & Vocational  Learn More

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.


UYT Image processing

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