19 citations · 24 across the 5 of their papers we have counts for
4 papers · 1 filter
Joint multiband deconvolution for Euclid and Vera C. Rubin images
Utsav Akhaury, Pascale Jablonka, Frédéric Courbin +1
With the advent of surveys like Euclid and Vera C. Rubin, astrophysicists will have access to both deep, high-resolution images and multiband images. However, these two types are n…
Ground-based image deconvolution with Swin Transformer UNet
Utsav Akhaury, Pascale Jablonka, Jean-Luc Starck +1
As ground-based all-sky astronomical surveys will gather millions of images in the coming years, a critical requirement emerges for the development of fast deconvolution algorithms…
Deep Learning-based galaxy image deconvolution
Utsav Akhaury, Jean-Luc Starck, Pascale Jablonka +2
With the onset of large-scale astronomical surveys capturing millions of images, there is an increasing need to develop fast and accurate deconvolution algorithms that generalize w…
ShapeNet: Shape Constraint for Galaxy Image Deconvolution
F. Nammour, U. Akhaury, J. N. Girard +4
Deep Learning (DL) has shown remarkable results in solving inverse problems in various domains. In particular, the Tikhonet approach is very powerful to deconvolve optical astronom…