activity
20142018
most citedA convex formulation for hyperspectral image superresolution via subspace-based regularization

817 citations · 834 across the 2 of their papers we have counts for

collaborators

5 papers

math.OC2018

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…

cs.CV2016★ 17 cited

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…

cs.CV2015

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…

cs.CV2014★ 817 cited

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…

cs.CV2014

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…