Deep learning for pixel-level image fusion: Recent advances and future prospects

•The difficulties that exist in conventional image fusion research are analyzed.•The advantages of deep learning (DL) techniques for image fusion are discussed.•A detailed review of existing DL-based image fusion methods is presented.•Several generic frameworks for DL-based image fusion are summariz...

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Bibliographic Details

Published in:	Information fusion Vol. 42; pp. 158 - 173
Main Authors:	Liu, Yu, Chen, Xun, Wang, Zengfu, Wang, Z. Jane, Ward, Rabab K., Wang, Xuesong
Format:	Journal Article
Language:	English
Published:	Elsevier B.V 01.07.2018
Subjects:	Convolutional neural network Convolutional sparse representation Deep learning Image fusion Stacked autoencoder Deep learning Stacked autoencoder Convolutional sparse representation Convolutional neural network Image fusion
ISSN:	1566-2535, 1872-6305
Online Access:	Get full text
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