Name
Abstract | ||
|---|---|---|
Deblurring low-resolution images is quite challenging as blur exists in the images and the resolution of the images is low. Existing deblurring methods usually require high-resolution input while the super-resolution methods usually assume that the blur is known or small. Simply applying the deblurring and super-resolution does not solve this problem well. In this paper, we develop an effective ca... |
Year | DOI | Venue |
|---|---|---|
2021 | 10.1109/CVPRW53098.2021.00031 | 2021 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW) |
Keywords | DocType | ISSN |
Training,Computer vision,Image edge detection,Conferences,Superresolution,Benchmark testing,Image restoration | Conference | 2160-7508 |
ISBN | Citations | PageRank |
978-1-6654-4899-4 | 1 | 0.35 |
References | Authors | |
15 | 4 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Haoran Bai | 1 | 1 | 0.35 |
| Songsheng Cheng | 2 | 1 | 0.35 |
| Jinhui Tang | 3 | 5180 | 212.18 |
| Jin-shan Pan | 4 | 567 | 30.84 |