Name
Abstract | ||
|---|---|---|
AbstractRecent advances in computational imaging have significantly expanded our ability to image through scattering layers such as biological tissues by exploiting the auto-correlation properties of captured speckle intensity patterns. However, most experimental demonstrations of this capability focus on the far-field imaging setting, where obscured light sources are very far from the scattering layer. By contrast, medical imaging applications such as fluorescent imaging operate in the near-field imaging setting, where sources are inside the scattering layer. We provide a theoretical and experimental study of the similarities and differences between the two settings, highlighting the increased challenges posed by the near-fieldsetting. We then draw insights from this analysis to develop a new algorithm for imaging through scattering that is tailored to the near-field setting by taking advantage of unique properties of speckle patterns formed under this setting, such as their local support. We present a theoretical analysis of the advantages of our algorithm and perform real experiments in both far-field and near-field configurations, showing an order-of magnitude expansion in both the range and the density of the obscured patterns that can be recovered. |
Year | DOI | Venue |
|---|---|---|
2021 | 10.1145/3447392 | ACM Transactions on Graphics |
Keywords | DocType | Volume |
Speckle, memory effect, scattering | Journal | 40 |
Issue | ISSN | Citations |
3 | 0730-0301 | 0 |
PageRank | References | Authors |
0.34 | 0 | 4 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Marina Alterman | 1 | 0 | 1.01 |
| Chen Bar | 2 | 0 | 1.35 |
| Gkioulekas, Ioannis | 3 | 124 | 12.79 |
| Anat Levin | 4 | 3578 | 212.90 |