Name
Abstract | ||
|---|---|---|
We propose a non-iterative image deconvolution algorithm for data corrupted by Poisson or mixed Poisson-Gaussian noise. Many applications involve such a problem, ranging from astronomical to biological imaging. We parameterize the deconvolution process as a linear combination of elementary functions, termed as linear expansion of thresholds. This parameterization is then optimized by minimizing a ... |
Year | DOI | Venue |
|---|---|---|
2018 | 10.1109/TIP.2017.2753404 | IEEE Transactions on Image Processing |
Keywords | DocType | Volume |
Deconvolution,Mathematical model,Image restoration,Microscopy,Noise measurement,AWGN | Journal | 27 |
Issue | ISSN | Citations |
1 | 1057-7149 | 4 |
PageRank | References | Authors |
0.39 | 14 | 3 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Jizhou Li | 1 | 12 | 3.83 |
| F. Luisier | 2 | 447 | 22.09 |
| T Blu | 3 | 2574 | 259.70 |