May 14, 2024, 4:47 a.m. | Utsav Akhaury, Pascale Jablonka, Jean-Luc Starck, Fr\'ed\'eric Courbin

cs.CV updates on

arXiv:2405.07842v1 Announce Type: cross
Abstract: 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 capable of efficiently improving the spatial resolution of these images. By successfully recovering clean and high-resolution images from these surveys, our objective is to help deepen our understanding of galaxy formation and evolution through accurate photometric measurements. We introduce a two-step deconvolution framework using a Swin Transformer architecture. Our study …

abstract algorithms arxiv development gather image images improving resolution spatial surveys swin swin transformer transformer type unet will

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