Search Results for author: Iaroslav Koshelev

Found 4 papers, 1 papers with code

Iterative Reweighted Least Squares Networks With Convergence Guarantees for Solving Inverse Imaging Problems

no code implementations10 Aug 2023 Iaroslav Koshelev, Stamatios Lefkimmiatis

In this work we present a novel optimization strategy for image reconstruction tasks under analysis-based image regularization, which promotes sparse and/or low-rank solutions in some learned transform domain.

Bilevel Optimization Deblurring +3

Learning Sparse and Low-Rank Priors for Image Recovery via Iterative Reweighted Least Squares Minimization

no code implementations20 Apr 2023 Stamatios Lefkimmiatis, Iaroslav Koshelev

We introduce a novel optimization algorithm for image recovery under learned sparse and low-rank constraints, which we parameterize as weighted extensions of the $\ell_p^p$-vector and $\mathcal S_p^p$ Schatten-matrix quasi-norms for $0\!<p\!\le1$, respectively.

Deblurring Demosaicking +2

DeepRLS: A Recurrent Network Architecture with Least Squares Implicit Layers for Non-blind Image Deconvolution

no code implementations10 Dec 2021 Iaroslav Koshelev, Daniil Selikhanovych, Stamatios Lefkimmiatis

In this work, we study the problem of non-blind image deconvolution and propose a novel recurrent network architecture that leads to very competitive restoration results of high image quality.

Image Deconvolution

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