5 papers
Multiresolution Block-Coordinate Plug-and-Play Algorithm for Image Reconstruction
Edgar Desainte-Mar{é}ville, Marion Foare, Paulo Gon{\c c}alves +2
Plug-and-Play methods are among the state-of-the-art approaches for image reconstruction, but they do not scale well with the image size. We propose a multiresolution block-coordin…
Plug-and-play forward backward algorithm to restore Landsat images: A preliminary step to uncover the history of surface waters
Pierre Audisio, Barbara Belletti, Nelly Pustelnik
The temporal and spatial analysis of river dynamics is a key factor for studying and understanding human impacts on floodplains. To assess the changes taking place, it is necessary…
A flexible block-coordinate forward-backward algorithm for non-smooth and non-convex optimization
Luis Briceño-Arias, Paulo Gonçalves, Guillaume Lauga +2
Block coordinate descent (BCD) methods are prevalent in large scale optimization problems due to the low memory and computational costs per iteration, the predisposition to paralle…
Diffusion models for polarimetric reconstruction of circumstellar environments
Quentin Villegas, Laurence Denneulin, Simon Prunet +5
In this paper, we propose an approach combining diffusion models and inverse problems for the reconstruction of circumstellar disk images. Our method builds upon the Rhapsodie fram…
Equivariant plug-and-play image reconstruction
Matthieu Terris, Thomas Moreau, Nelly Pustelnik +1
Plug-and-play algorithms constitute a popular framework for solving inverse imaging problems that rely on the implicit definition of an image prior via a denoiser. These algorithms…