Multi-focus image fusion with a deep convolutional neural network

Yu Liu, Xun Chen, Hu Peng, Zengfu Wang

Abstract: Highlights•Introduces Convolutional neural networks (CNNs) into the field of image fusion.•Discusses the feasibility and superiority of CNNs used for image fusion.•Proposes a state-of-the-art CNN-based multi-focus image fusion method.•Exhibits the potential of CNNs for other-type image fusion issues.•Puts forward some suggestions on the future study of CNN-based image fusion.