268 citations · 1.4k across the 80 of their papers we have counts for
18 papers · 1 filter
Spintronics for image recognition: performance benchmarking via data-driven simulations
Anatole Moureaux, Chloé Chopin, Simon de Wergifosse +2
We present a demonstration of image classification using an extreme learning machine (ELM) based on a unique simulated magnetic tunnel junction (MTJ) delayed in time. As the ground…
Compressive Sampling Approach for Image Acquisition with Lensless Endoscope
Stéphanie Guérit, Siddharth Sivankutty, Camille Scotté +3
The lensless endoscope is a promising device designed to image tissues in vivo at the cellular scale. The traditional acquisition setup consists in raster scanning during which the…
Compressive Single-pixel Fourier Transform Imaging using Structured Illumination
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. In this context, many schemes exist to improve t…
Compressive Hyperspectral Imaging: Fourier Transform Interferometry meets Single Pixel Camera
Amirafshar Moshtaghpour, José M. Bioucas-Dias, Laurent Jacques
This paper introduces a single-pixel HyperSpectral (HS) imaging framework based on Fourier Transform Interferometry (FTI). By combining a space-time coding of the light illuminatio…
Multispectral Compressive Imaging Strategies using Fabry-Pérot Filtered Sensors
Kévin Degraux, Valerio Cambareri, Bert Geelen +2
This paper introduces two acquisition device architectures for multispectral compressive imaging. Unlike most existing methods, the proposed computational imaging techniques do not…
Blind Deconvolution of PET Images using Anatomical Priors
Stéphanie Guérit, Adriana González, Anne Bol +2
Images from positron emission tomography (PET) provide metabolic information about the human body. They present, however, a spatial resolution that is limited by physical and instr…