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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Vydané v:	Information fusion Ročník 42; s. 158 - 173
Hlavní autori:	Liu, Yu, Chen, Xun, Wang, Zengfu, Wang, Z. Jane, Ward, Rabab K., Wang, Xuesong
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	Elsevier B.V 01.07.2018
Predmet:	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
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