36 citations · 60 across the 8 of their papers we have counts for
8 papers
AstroClearNet: Deep image prior for multi-frame astronomical image restoration
Yashil Sukurdeep, Fausto Navarro, Tamás Budavári
Recovering high-fidelity images of the night sky from blurred observations is a fundamental problem in astronomy, where traditional methods typically fall short. In ground-based as…
ImageMM: Joint multi-frame image restoration and super-resolution
Yashil Sukurdeep, Tamás Budavári, Andrew J. Connolly +1
A key processing step in ground-based astronomy involves combining multiple noisy and blurry exposures to produce an image of the night sky with an improved signal-to-noise ratio.…
A flexible Expectation-Maximization framework for fast, scalable and high-fidelity multi-frame astronomical image deconvolution
Yashil Sukurdeep, Fausto Navarro, Tamas Budavari
We present a computationally efficient expectation-maximization framework for multi-frame image deconvolution and super-resolution. Our method is well adapted for processing large…
Learning the Night Sky with Deep Generative Priors
Fausto Navarro, Daniel Hall, Tamas Budavari +1
Recovering sharper images from blurred observations, referred to as deconvolution, is an ill-posed problem where classical approaches often produce unsatisfactory results. In groun…
Elastic shape analysis of surfaces with second-order Sobolev metrics: a comprehensive numerical framework
Emmanuel Hartman, Yashil Sukurdeep, Eric Klassen +2
This paper introduces a set of numerical methods for Riemannian shape analysis of 3D surfaces within the setting of invariant (elastic) second-order Sobolev metrics. More specifica…
A new variational model for shape graph registration with partial matching constraints
Yashil Sukurdeep, Martin Bauer, Nicolas Charon
This paper introduces a new extension of Riemannian elastic curve matching to a general class of geometric structures, which we call (weighted) shape graphs, that allows for shape…
Supervised deep learning of elastic SRV distances on the shape space of curves
Emmanuel Hartman, Yashil Sukurdeep, Nicolas Charon +2
Motivated by applications from computer vision to bioinformatics, the field of shape analysis deals with problems where one wants to analyze geometric objects, such as curves, whil…
An inexact matching approach for the comparison of plane curves with general elastic metrics
Yashil Sukurdeep, Martin Bauer, Nicolas Charon
This paper introduces a new mathematical formulation and numerical approach for the computation of distances and geodesics between immersed planar curves. Our approach combines the…