34 citations · 78 across the 12 of their papers we have counts for
13 papers
PolyCLEAN: Atomic Optimization for Super-Resolution Imaging and Uncertainty Estimation in Radio Interferometry
Adrian Jarret, Sepand Kashani, Joan Rué-Queralt +3
Aims: We address two issues for the adoption of convex optimization in radio interferometric imaging. First, a method for a fine resolution setup is proposed which scales naturally…
BIPP: An efficient HPC implementation of the Bluebild algorithm for radio astronomy
Emma Tolley, Simon Frasch, Etienne Orliac +6
The Bluebild algorithm is a new technique for image synthesis in radio astronomy which decomposes the sky into distinct energy levels using functional principal component analysis.…
HVOX: Scalable Interferometric Synthesis and Analysis of Spherical Sky Maps
Sepand Kashani, Joan Rué Queralt, Adrian Jarret +1
Analysis and synthesis are key steps of the radio-interferometric imaging process, serving as a bridge between visibility and sky domains. They can be expressed as partial Fourier…
Privacy-Enhancing Optical Embeddings for Lensless Classification
Eric Bezzam, Martin Vetterli, Matthieu Simeoni
Lensless imaging can provide visual privacy due to the highly multiplexed characteristic of its measurements. However, this alone is a weak form of security, as various adversarial…
LenslessPiCam: A Hardware and Software Platform for Lensless Computational Imaging with a Raspberry Pi
Eric Bezzam, Sepand Kashani, Martin Vetterli +1
Lensless imaging seeks to replace/remove the lens in a conventional imaging system. The earliest cameras were in fact lensless, relying on long exposure times to form images on the…
Learning rich optical embeddings for privacy-preserving lensless image classification
Eric Bezzam, Martin Vetterli, Matthieu Simeoni
By replacing the lens with a thin optical element, lensless imaging enables new applications and solutions beyond those supported by traditional camera design and post-processing,…
Functional Estimation of Anisotropic Covariance and Autocovariance Operators on the Sphere
Alessia Caponera, Julien Fageot, Matthieu Simeoni +1
We propose nonparametric estimators for the second-order central moments of possibly anisotropic spherical random fields, within a functional data analysis context. We consider a m…
A Fast and Scalable Polyatomic Frank-Wolfe Algorithm for the LASSO
Adrian Jarret, Julien Fageot, Matthieu Simeoni
We propose a fast and scalable Polyatomic Frank-Wolfe (P-FW) algorithm for the resolution of high-dimensional LASSO regression problems. The latter improves upon traditional Frank-…
pyFFS: A Python Library for Fast Fourier Series Computation and Interpolation with GPU Acceleration
Eric Bezzam, Sepand Kashani, Paul Hurley +2
Fourier transforms are an often necessary component in many computational tasks, and can be computed efficiently through the fast Fourier transform (FFT) algorithm. However, many a…
SiML: Sieved Maximum Likelihood for Array Signal Processing
Matthieu Simeoni, Paul Hurley
Stochastic Maximum Likelihood (SML) is a popular direction of arrival (DOA) estimation technique in array signal processing. It is a parametric method that jointly estimates signal…
TV-based Reconstruction of Periodic Functions
Julien Fageot, Matthieu Simeoni
We introduce a general framework for the reconstruction of periodic multivariate functions from finitely many and possibly noisy linear measurements. The reconstruction task is for…
CPGD: Cadzow Plug-and-Play Gradient Descent for Generalised FRI
Matthieu Simeoni, Adrien Besson, Paul Hurley +1
Finite rate of innovation (FRI) is a powerful reconstruction framework enabling the recovery of sparse Dirac streams from uniform low-pass filtered samples. An extension of this fr…
Functional Penalised Basis Pursuit on Spheres
Matthieu Simeoni
In this paper, we propose a unified theoretical and practical spherical approximation framework for functional inverse problems on the hypersphere. More specifically, we consider r…