Search Results for author: José M. Bioucas-Dias

Found 8 papers, 0 papers with code

Compressive Single-pixel Fourier Transform Imaging using Structured Illumination

no code implementations31 Oct 2018 Amirafshar Moshtaghpour, José M. Bioucas-Dias, Laurent Jacques

Single Pixel (SP) imaging is now a reality in many applications, e. g., biomedical ultrathin endoscope and fluorescent spectroscopy.

Compressive Sensing

Compressive Hyperspectral Imaging: Fourier Transform Interferometry meets Single Pixel Camera

no code implementations4 Sep 2018 Amirafshar Moshtaghpour, José M. Bioucas-Dias, Laurent Jacques

This paper introduces a single-pixel HyperSpectral (HS) imaging framework based on Fourier Transform Interferometry (FTI).

Compressive Sensing

Scene-Adapted Plug-and-Play Algorithm with Guaranteed Convergence: Applications to Data Fusion in Imaging

no code implementations2 Jan 2018 Afonso M. Teodoro, José M. Bioucas-Dias, Mário A. T. Figueiredo

The recently proposed plug-and-play (PnP) framework allows leveraging recent developments in image denoising to tackle other, more involved, imaging inverse problems.

Deblurring Image Deblurring +1

Scene-adapted plug-and-play algorithm with convergence guarantees

no code implementations8 Feb 2017 Afonso M. Teodoro, José M. Bioucas-Dias, Mário A. T. Figueiredo

Recent frameworks, such as the so-called plug-and-play, allow us to leverage the developments in image denoising to tackle other, and more involved, problems in image processing.

Image Denoising

Image Restoration with Locally Selected Class-Adapted Models

no code implementations23 May 2016 Afonso M. Teodoro, José M. Bioucas-Dias, Mário A. T. Figueiredo

State-of-the-art algorithms for imaging inverse problems (namely deblurring and reconstruction) are typically iterative, involving a denoising operation as one of its steps.

Deblurring Denoising +1

Image Restoration and Reconstruction using Variable Splitting and Class-adapted Image Priors

no code implementations12 Feb 2016 Afonso M. Teodoro, José M. Bioucas-Dias, Mário A. T. Figueiredo

This paper proposes using a Gaussian mixture model as a prior, for solving two image inverse problems, namely image deblurring and compressive imaging.

Deblurring Denoising +2

Hyperspectral pansharpening: a review

no code implementations17 Apr 2015 Laetitia Loncan, Luis B. Almeida, José M. Bioucas-Dias, Xavier Briottet, Jocelyn Chanussot, Nicolas Dobigeon, Sophie Fabre, Wenzhi Liao, Giorgio A. Licciardi, Miguel Simões, Jean-Yves Tourneret, Miguel A. Veganzones, Gemine Vivone, Qi Wei, Naoto Yokoya

In this work, we compare new pansharpening techniques designed for hyperspectral data with some of the state of the art methods for multispectral pansharpening, which have been adapted for hyperspectral data.

Pansharpening

Self-Dictionary Sparse Regression for Hyperspectral Unmixing: Greedy Pursuit and Pure Pixel Search are Related

no code implementations15 Sep 2014 Xiao Fu, Wing-Kin Ma, Tsung-Han Chan, José M. Bioucas-Dias

We then perform exact recovery analyses, and prove that the proposed greedy algorithm is robust to noise---including its identification of the (unknown) number of endmembers---under a sufficiently low noise level.

Hyperspectral Unmixing regression

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