… level measurement and fusion rule can be jointly generated through learning a CNN model,
… existing fusion methods. Based on the above idea, a new multi-focus image fusion method …

… multi-focus image fusion method based on an innovative end-to-end multi-scale visual attention
deep convolutional neural network … fused image directly from multi-focus source images. …

… deep learning (DL) method for fusing multi-focus images. Current multi-focus image fusion
(… These methods use a convolutional neural network (CNN) as a classifier to identify pixels …

… Fortunately, recently deep learning techniques are thriving in numerous computer vision …
of the image features in multi-focus images. CNN's are used to generate the fused images by …

… -to-end deep learning-based approach for multi-focus image fusion with a natural enhance…
By designing and studying three basic neural network architectures, namely, SBN, SN, and …

… CNN is a typical deep learning model that learns a hierarchical … the multi-focus image
fusion algorithm presented in this article with the recent state of the art multi-focus image fusion …

… deep convolution neural network to fuse multi-focus images pixel-wise. It shows the great
potential of deep learning methods in image fusion… more accurate labelled training image set to …

… methods, the deep learningbased multi-focus image fusion methods can effectively improve
the performance of image fusion tasks. However, the existing deep learning-based methods …

… Multi-focus image fusion based on deep learning due to lack of training data, most of the
neural network … In order to solve the above problems, we propose a multi-focus image fusion …

… In this paper, we address this problem with a novel image segmentation-based multi-focus
image fusion … Multi-focus image fusion with a deep convolutional neural network. Information …