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| Paper: |
New Theoretical Frameworks for Interferometric Imaging |
| Volume: |
487, Resolving The Future Of Astronomy With Long-Baseline Interferometry |
| Page: |
229 |
| Authors: |
Baron, F.; Monnier, J.; Young, J.; Buscher, D. |
| Abstract: |
With the advent of new instruments (MIRC-6T at CHARA, PIONEER at VLTI,
and VISION at NPOI) as well as the construction of MROI, the focus in
optical and infrared interferometry has shifted toward
imaging. However, examining the current “model-independent” image
reconstruction packages proves they are often inadequate to
reconstruct even simple objects. We present here two possible paths
that are being explored to improve the quality of image
reconstruction. The first is the Compressed Sensing framework,
which prescribes the use of spatial bases in which the object is
sparse. The second is the Bayesian evidence framework, which
allows to discrimination between physical models in imaging. We
illustrate the application of both frameworks with reconstruction of a
simulated spotted star. |
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