Iterative Low-rank and rotating sparsity promotion for circumstellar disks imaging

Pairet, Benoît;Jacques, Laurent;Cantalloube, Faustine
(2019) Signal Processing with Adaptive Sparse Structured Representations (SPARS′19) Workshop — Location: Toulouse, France (1.July.2019)

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Authors
  • Pairet, BenoîtUCLouvain
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  • Author
  • Cantalloube, Faustine
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Abstract
Recent astronomical observations open the possibility to directly image circumstellar disks, a key feature for our understanding of extra-solar systems. However, the faint intensity of these celestial signals compared to the brightness of their hosting star make their accurate characterization a challenging processing task. While there exist several post processing techniques adapted to the extraction of (point shaped) exoplanets, this work proposes a novel iterative method for extracting the elongated structure of circumstellar signals from direct imaging datasets. This method leverages low-complexity models of both the corrupting stellar light and the disks. Our approach is assessed through numerical experiments.
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Pairet, B., Jacques, L., & Cantalloube, F. (2019). Iterative Low-rank and rotating sparsity promotion for circumstellar disks imaging. Proceedings of SPARS′19, 1(1), 1. https://hdl.handle.net/2078.5/170704 (Original work published 2019)