  Circumstellar disks play a key role in the understanding of stellar systems.
Direct imaging of such extended structures is a challenging task. Current
post-processing techniques, first tailored for exoplanets imaging, tend to
produce deformed images of the circumstellar disks, hindering our capability to
study their shape and photometry in details. We address here the reasons of
this shortcoming and propose an algorithm that produces more faithful images of
disks taken with ground-based telescopes. We also show that our algorithm is a
good candidate for exoplanets imaging. We then explain how our approach can be
extended in the form of a regularized inverse problem.
