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20092023
most citedDeep Convolutional Neural Network for Inverse Problems in Imaging

2.6k citations · 4.8k across the 91 of their papers we have counts for

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Showing 2020Show all

9 papers · 1 filter

math.NA2020

Shortest-support Multi-Spline Bases for Generalized Sampling

Alexis Goujon, Shayan Aziznejad, Alireza Naderi +1

Generalized sampling consists in the recovery of a function , from the samples of the responses of a collection of linear shift-invariant systems to the input . The reconstru…

eess.IV2020

Optimal-transport-based metric for SMLM

Quentin Denoyelle, Thanh-an Pham, Pol del Aguila Pla +2

We propose the use of Flat Metric to assess the performance of reconstruction methods for single-molecule localization microscopy (SMLM) in scenarios where the ground-truth is avai…

eess.IV2020★ 56 cited

Robust Phase Unwrapping via Deep Image Prior for Quantitative Phase Imaging

Fangshu Yang, Thanh-an Pham, Nathalie Brandenberg +3

Quantitative phase imaging (QPI) is an emerging label-free technique that produces images containing morphological and dynamical information without contrast agents. Unfortunately,…

math.FA2020

Duality Mapping for Schatten Matrix Norms

Shayan Aziznejad, Michael Unser

In this paper, we fully characterize the duality mapping over the space of matrices that are equipped with Schatten norms. Our approach is based on the analysis of the saturation o…

math.ST2020★ 3 cited

Generating Sparse Stochastic Processes Using Matched Splines

Leello Dadi, Shayan Aziznejad, Michael Unser

We provide an algorithm to generate trajectories of sparse stochastic processes that are solutions of linear ordinary differential equations driven by Lévy white noises. A recent p…

math.FA2020★ 7 cited

A Note on BIBO Stability

Michael Unser

The statements on the BIBO stability of continuous-time convolution systems found in engineering textbooks are often either too vague (because of lack of hypotheses) or mathematica…