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

Information Fusion

Volumn 42, Issue , 2018, Pages 158-173

  Liu, Yu ^a   Chen, Xun ^a,b   Wang, Zengfu ^b   Wang, Z Jane ^c   Ward, Rabab K ^c   Wang, Xuesong ^d  

^a HEFEI UNIVERSITY OF TECHNOLOGY   (China)

^b UNIVERSITY OF SCIENCE AND TECHNOLOGY OF CHINA   (China)

^c UNIVERSITY OF BRITISH COLUMBIA   (Canada)

^d CHINA UNIVERSITY OF MINING AND TECHNOLOGY   (China)

Author keywords

Convolutional neural network; Convolutional sparse representation; Deep learning; Image fusion; Stacked autoencoder

Indexed keywords

CONVOLUTION; DEEP LEARNING; IMAGE PROCESSING; LEARNING SYSTEMS; MEDICAL IMAGING; MEDICAL PROBLEMS; NEURAL NETWORKS; PIXELS; REMOTE SENSING; SECURITY SYSTEMS;

AUTO ENCODERS; CONVOLUTIONAL NEURAL NETWORK; DIGITAL PHOTOGRAPHY; IMAGE FUSION METHODS; IMAGE PROCESSING PROBLEMS; OBJECTIVE EVALUATION; PIXEL-LEVEL IMAGE FUSION; SPARSE REPRESENTATION;

IMAGE FUSION;

EID: 85033460261     PISSN: 15662535     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.inffus.2017.10.007     Document Type: Article

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