Name
Abstract | ||
|---|---|---|
The problem of blind image recovery using multiple blurry images of the same scene is addressed in this paper. To perform blind deconvolution, which is also called blind image recovery, the blur kernel and image are represented by groups of sparse domains to exploit the local and nonlocal information such that a novel joint deblurring approach is conceived. In the proposed approach, the group spar... |
Year | DOI | Venue |
|---|---|---|
2018 | 10.1109/TIP.2018.2811048 | IEEE Transactions on Image Processing |
Keywords | Field | DocType |
Kernel,Estimation,Deconvolution,Optimization,Image reconstruction,Unmanned aerial vehicles,Telecommunications | Kernel (linear algebra),Iterative reconstruction,Computer vision,Pattern recognition,Blind deconvolution,Deblurring,Sparse approximation,Deconvolution,Regularization (mathematics),Artificial intelligence,Real image,Mathematics | Journal |
Volume | Issue | ISSN |
27 | 6 | 1057-7149 |
Citations | PageRank | References |
1 | 0.35 | 16 |
Authors | ||
5 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Tsung-Ching Lin | 1 | 74 | 14.69 |
| Hou LiMing | 2 | 2 | 2.06 |
| Hongqing Liu | 3 | 45 | 28.77 |
| Yong Li | 4 | 9 | 6.31 |
| Trieu-Kien Truong | 5 | 382 | 59.00 |