Publications

Exoplanet detection in angular differential imaging: combining a statistics-based learning with a deep-based learning for improved detections

Detection of exoplanets by direct imaging is an active research topic in astronomy for the characterization of young substellar objects. The very high contrast between the host star and its companions makes the detection particularly challenging. In …

New post-processing algorithms for exoplanet detection and circumstellar disk reconstruction by direct imaging

Studying the circumstellar environmment by direct imaging is an active research topic in astronomy. The very high contrast between the host star and the objects of interest (exoplanets and disk) makes the task particularly challenging thus requiring …

Multispectral Image Reconstruction of Faint Circumstellar Environments from High Contrast Angular Spectral Differential Imaging (ASDI) Data

We recently proposed REXPACO (Flasseur et al., 2021, A&A A62), an algorithm for imaging circumstellar environments from high contrast Angular Differential Imaging (ADI) data. In the context of high contrast imaging where the signal of interest is …

Optimal multi-epoch combination of direct imaging observations for improved exoplanet detection

Exoplanets detection by direct imaging remains one of the most challenging field of modern astronomy. The signal of the star can prevent the detection of orbiting companions in single datasets, but combining information from several observations …

A new PACO based method to push the exoplanets detection limits and to estimate their orbital parameters simultaneously by combining multi-epoch direct imaging observations

Exoplanets detection by direct imaging remains one of the most challenging field of astronomy. The very high contrast between the host star and its orbiting companions can prevent the exoplanets detection in a single dataset. However, combining the …

Finding meaningful detections: false discovery rate control in correlated detection maps

The detection of faint sources is a key step in several areas of signal and image processing. The reliability of the detection depends on two key components: (i) the detection criterion used to derive detection maps in which the signature of a source …

Exoplanet imaging data challenge: benchmarking the various image processing methods for exoplanet detection

The Exoplanet Imaging Data Challenge is a community-wide effort meant to offer a platform for a fair and common comparison of image processing methods designed for exoplanet direct detection. For this purpose, it gathers on a dedicated repository …

Accounting for the nonstationary correlated noise in digital holography

In in-line digital holography, the background of the recorded images is sometimes much higher than the signal of interest. It can originates, for example, from the diffraction of dusts or fringes coming from multiple reflexions in the optical …

ExPACO: detection of an extended pattern under nonstationary correlated noise by patch covariance modeling

In several areas of imaging, it is necessary to detect the weak signal of a known pattern superimposed over a background. Because of its temporal fluctuations, the background maybe difficult to suppress. Detection of the pattern then requires a …

Numerical reconstruction of holograms using inverse problems approaches

Several reconstruction approaches based on inverse problems (also called compressive sensing, Bayesian approaches, model fitting) have been proposed recently in digital holography. We demonstrate how such approaches improve hologram reconstruction in …