Name
Abstract | ||
|---|---|---|
Infrared and visible image fusion (IVIF) expects to obtain images that retain thermal radiation information from infrared images and texture details from visible images. In this paper, a model-based convolutional neural network (CNN) model, referred to as Algorithm Unrolling Image Fusion (AUIF), is proposed to overcome the shortcomings of traditional CNN-based IVIF models. The proposed AUIF model ... |
Year | DOI | Venue |
|---|---|---|
2022 | 10.1109/TCSVT.2021.3075745 | IEEE Transactions on Circuits and Systems for Video Technology |
Keywords | DocType | Volume |
Optimization,Image fusion,Feature extraction,Task analysis,Kernel,Decoding,Neural networks | Journal | 32 |
Issue | ISSN | Citations |
3 | 1051-8215 | 0 |
PageRank | References | Authors |
0.34 | 25 | 6 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Zixiang Zhao | 1 | 15 | 5.50 |
| Shuang Xu | 2 | 274 | 32.53 |
| Jiangshe Zhang | 3 | 717 | 61.11 |
| Chengyang Liang | 4 | 0 | 0.34 |
| Chun-Xia Zhang | 5 | 151 | 17.14 |
| Junmin Liu | 6 | 134 | 16.67 |