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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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