Name
Abstract | ||
|---|---|---|
Synchrotron-based soft X-ray ptychography has enabled the reconstruction of both the phase and attenuation projections of samples relevant to the physical and biological sciences. The phase projection images typically have higher fidelity and hence are used for tomographic reconstruction. In practice, three-dimensional tomographic reconstruction can be challenging because the measurements may have... |
Year | DOI | Venue |
|---|---|---|
2016 | 10.1109/LSP.2016.2562504 | IEEE Signal Processing Letters |
Keywords | Field | DocType |
Image reconstruction,Tomography,Signal processing algorithms,Cost function,Phase measurement,Robustness | Iterative reconstruction,Computer vision,Tomographic reconstruction,Mathematical optimization,Ptychography,Dykstra's projection algorithm,Robustness (computer science),Tomography,Artificial intelligence,Inverse problem,Radon transform,Mathematics | Journal |
Volume | Issue | ISSN |
23 | 7 | 1070-9908 |
Citations | PageRank | References |
0 | 0.34 | 7 |
Authors | ||
8 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| S. V. Venkatakrishnan | 1 | 113 | 8.59 |
| Maryam Farmand | 2 | 0 | 0.34 |
| Young-Sang Yu | 3 | 0 | 0.34 |
| Hasti Majidi | 4 | 0 | 0.34 |
| Klaus van Benthem | 5 | 0 | 0.34 |
| Stefano Marchesini | 6 | 7 | 2.48 |
| David A. Shapiro | 7 | 1 | 1.03 |
| Alexander Hexemer | 8 | 5 | 2.71 |