IFCNN: A General Image Fusion Framework Based on Convolutional Neural Network

Information Fusion 2020 Yu Zhang; Yu Liu; Peng Sun; Han Yan; Xiaolin Zhao; Li Zhang

In this paper, we propose a general image fusion framework based on the convolutional neural network, named as IFCNN. Inspired by the transform-domain image fusion algorithms, we firstly utilize two convolutional layers to extract the salient image features from multiple input images... (read more)


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