Playing with duality: An overview of recent primal? dual approaches for solving large-scale optimization problems
N Komodakis, JC Pesquet - IEEE Signal Processing Magazine, 2015 - ieeexplore.ieee.org
Optimization methods are at the core of many problems in signal/image processing,
computer vision, and machine learning. For a long time, it has been recognized that looking …
computer vision, and machine learning. For a long time, it has been recognized that looking …
Principles of image reconstruction in optical interferometry: tutorial
É Thiébaut, J Young - JOSA A, 2017 - opg.optica.org
This paper provides a general introduction to the problem of image reconstruction from
interferometric data. A simple model of the interferometric observables is given, and the …
interferometric data. A simple model of the interferometric observables is given, and the …
Fixed point strategies in data science
PL Combettes, JC Pesquet - IEEE Transactions on Signal …, 2021 - ieeexplore.ieee.org
The goal of this article is to promote the use of fixed point strategies in data science by
showing that they provide a simplifying and unifying framework to model, analyze, and solve …
showing that they provide a simplifying and unifying framework to model, analyze, and solve …
MIRA: an effective imaging algorithm for optical interferometry
E Thiébaut - Optical and Infrared Interferometry, 2008 - spiedigitallibrary.org
This paper presents MIRA, a Multi-aperture Image Reconstruction Algorithm, which has
been specifically developed for image restoration from optical interferometric data. The …
been specifically developed for image restoration from optical interferometric data. The …
[HTML][HTML] Moresane: Model reconstruction by synthesis-analysis estimators-a sparse deconvolution algorithm for radio interferometric imaging
Context. Recent years have been seeing huge developments of radio telescopes and a
tremendous increase in their capabilities (sensitivity, angular and spectral resolution, field of …
tremendous increase in their capabilities (sensitivity, angular and spectral resolution, field of …
A convex approach for image restoration with exact Poisson--Gaussian likelihood
The Poisson--Gaussian model can accurately describe the noise present in a number of
imaging systems. However most existing restoration methods rely on approximations of the …
imaging systems. However most existing restoration methods rely on approximations of the …
Image reconstruction in optical interferometry
É Thiébaut, JF Giovannelli - IEEE Signal Processing Magazine, 2009 - ieeexplore.ieee.org
Since the first multitelescope optical interferometer [1], considerable technological
improvements have been achieved. Optical (visible/infrared) interferometers are now widely …
improvements have been achieved. Optical (visible/infrared) interferometers are now widely …
Fast positive deconvolution of hyperspectral images
Fast Positive Deconvolution of Hyperspectral Images Page 1 828 IEEE TRANSACTIONS
ON IMAGE PROCESSING, VOL. 22, NO. 2, FEBRUARY 2013 Correspondence Fast …
ON IMAGE PROCESSING, VOL. 22, NO. 2, FEBRUARY 2013 Correspondence Fast …
Firedec: a two-channel finite-resolution image deconvolution algorithm
N Cantale, F Courbin, M Tewes, P Jablonka… - Astronomy & …, 2016 - aanda.org
We present a two-channel deconvolution method that decomposes images into a parametric
point-source channel and a pixelized extended-source channel. Based on the central idea …
point-source channel and a pixelized extended-source channel. Based on the central idea …
Astronomical image reconstruction with convolutional neural networks
R Flamary - 2017 25th European Signal Processing …, 2017 - ieeexplore.ieee.org
State of the art methods in astronomical image reconstruction rely on the resolution of a
regularized or constrained optimization problem. Solving this problem can be …
regularized or constrained optimization problem. Solving this problem can be …