Abstract | ||
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Blind image deblurring, i.e., deblurring without knowledge of the blur kernel, is a highly ill-posed problem. The problem can be solved in two parts: 1) estimate a blur kernel from the blurry image, and 2) given an estimated blur kernel, de-convolve the blurry input to restore the target image. In this paper, we propose a graph-based blind image deblurring algorithm by interpreting an image patch ... |
Year | DOI | Venue |
---|---|---|
2019 | 10.1109/TIP.2018.2874290 | IEEE Transactions on Image Processing |
Keywords | DocType | Volume |
Image restoration,Kernel,Skeleton,Image edge detection,Laplace equations,Symmetric matrices,Optimization | Journal | 28 |
Issue | ISSN | Citations |
3 | 1057-7149 | 11 |
PageRank | References | Authors |
0.51 | 0 | 4 |
Name | Order | Citations | PageRank |
---|---|---|---|
Yuanchao Bai | 1 | 34 | 4.36 |
Gene Cheung Connie Chan | 2 | 1387 | 121.82 |
Xianming Liu | 3 | 461 | 47.55 |
Wen Gao | 4 | 11374 | 741.77 |