817 citations · 838 across the 4 of their papers we have counts for
7 papers
Algorithms based on operator-averaged operators
Miguel Simões
A class of algorithms comprised by certain semismooth Newton and active-set methods is able to solve convex minimization problems involving sparsity-inducing regularizers very rapi…
Lasry-Lions Envelopes and Nonconvex Optimization: A Homotopy Approach
Miguel Simões, Andreas Themelis, Panagiotis Patrinos
In large-scale optimization, the presence of nonsmooth and nonconvex terms in a given problem typically makes it hard to solve. A popular approach to address nonsmooth terms in con…
An Extension of Averaged-Operator-Based Algorithms
Miguel Simões, José Bioucas-Dias, Luis B. Almeida
Many of the algorithms used to solve minimization problems with sparsity-inducing regularizers are generic in the sense that they do not take into account the sparsity of the solut…
A Framework for Fast Image Deconvolution with Incomplete Observations
Miguel Simões, Luis B. Almeida, José Bioucas-Dias +1
In image deconvolution problems, the diagonalization of the underlying operators by means of the FFT usually yields very large speedups. When there are incomplete observations (e.g…
Hyperspectral pansharpening: a review
Laetitia Loncan, Luis B. Almeida, José M. Bioucas-Dias +12
Pansharpening aims at fusing a panchromatic image with a multispectral one, to generate an image with the high spatial resolution of the former and the high spectral resolution of…
A convex formulation for hyperspectral image superresolution via subspace-based regularization
Miguel Simões, José Bioucas-Dias, Luis B. Almeida +1
Hyperspectral remote sensing images (HSIs) usually have high spectral resolution and low spatial resolution. Conversely, multispectral images (MSIs) usually have low spectral and h…
Hyperspectral image superresolution: An edge-preserving convex formulation
Miguel Simões, José Bioucas-Dias, Luis B. Almeida +1
Hyperspectral remote sensing images (HSIs) are characterized by having a low spatial resolution and a high spectral resolution, whereas multispectral images (MSIs) are characterize…