PI-AstroDeconv: A Physics-Informed Unsupervised Learning Method for Astronomical Image Deconvolution

arXiv:2403.01692v1 Announce Type: cross
Abstract: In the imaging process of an astronomical telescope, the deconvolution of its beam or Point Spread Function (PSF) is a crucial task. However, deconvolution presents a classical and challenging inverse computation problem. In scenarios where the beam or PSF is complex or inaccurately measured, such as in interferometric arrays and certain radio telescopes, the resultant blurry images are often challenging to interpret visually or analyze using traditional physical detection methods. We argue that traditional methods …

abstract arxiv astro-ph.ga astro-ph.im computation cs.cv eess.iv function image imaging physics physics-informed process psf type unsupervised unsupervised learning