Name
Title | ||
|---|---|---|
Pyramid Orthogonal Attention Network based on Dual Self-Similarity for Accurate Mr Image Super-Resolution |
Abstract | ||
|---|---|---|
For magnetic resonance (MR) images sharing visual characteristics, the internal structure repetitions of different scales are considerable image-specific priors. Following the traditional algorithms, we try to combine external dataset-driven learning with the internal self-similarity for MR image super-resolution (SR). We propose a pyramid orthogonal attention network (POAN) based on dual self-sim... |
Year | DOI | Venue |
|---|---|---|
2021 | 10.1109/ICME51207.2021.9428112 | 2021 IEEE International Conference on Multimedia and Expo (ICME) |
Keywords | DocType | ISBN |
Visualization,Correlation,Image edge detection,Superresolution,Magnetic resonance,Training data,Image restoration | Conference | 978-1-6654-3864-3 |
Citations | PageRank | References |
2 | 0.36 | 0 |
Authors | ||
5 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Xiaowan Hu | 1 | 4 | 3.09 |
| Wang H | 2 | 71 | 29.35 |
| Yuanhao Cai | 3 | 4 | 3.43 |
| Xiaole Zhao | 4 | 2 | 1.04 |
| Zhang Yulun | 5 | 206 | 22.15 |