Name
Abstract | ||
|---|---|---|
•Propose a CNN based general image fusion framework.•Demonstrate good generalization ability for fusing various types of images.•Perform comparably or even better than the state-of-the-art algorithms on four datasets.•Create a large-scale and diverse multi-focus image dataset for training CNN models.•Incorporate perceptual loss to boost the model’s performance. |
Year | DOI | Venue |
|---|---|---|
2020 | 10.1016/j.inffus.2019.07.011 | Information Fusion |
Keywords | Field | DocType |
General image fusion framework,Convolutional neural network,Large-scale multi-focus image dataset,Better generalization ability | Image fusion,Pattern recognition,Feature (computer vision),Convolutional neural network,Fusion,RGB color model,Artificial intelligence,Mathematics,Salient | Journal |
Volume | ISSN | Citations |
54 | 1566-2535 | 24 |
PageRank | References | Authors |
0.65 | 0 | 6 |