70 citations · 124 across the 7 of their papers we have counts for
7 papers
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…
Online Convolutional Dictionary Learning for Multimodal Imaging
Kevin Degraux, Ulugbek S. Kamilov, Petros T. Boufounos +1
Computational imaging methods that can exploit multiple modalities have the potential to enhance the capabilities of traditional sensing systems. In this paper, we propose a new me…
Sparse Support Recovery with Non-smooth Loss Functions
Kévin Degraux, Gabriel Peyré, Jalal M. Fadili +1
In this paper, we study the support recovery guarantees of underdetermined sparse regression using the -norm as a regularizer and a non-smooth loss function for data fideli…
Consistent Basis Pursuit for Signal and Matrix Estimates in Quantized Compressed Sensing
Amirafshar Moshtaghpour, Laurent Jacques, Valerio Cambareri +2
This paper focuses on the estimation of low-complexity signals when they are observed through uniformly quantized compressive observations. Among such signals, we consider 1-D…
Generalized Inpainting Method for Hyperspectral Image Acquisition
K. Degraux, V. Cambareri, L. Jacques +3
A recently designed hyperspectral imaging device enables multiplexed acquisition of an entire data volume in a single snapshot thanks to monolithically-integrated spectral filters.…
Proceedings of the second "international Traveling Workshop on Interactions between Sparse models and Technology" (iTWIST'14)
L. Jacques, C. De Vleeschouwer, Y. Boursier +64
The implicit objective of the biennial "international - Traveling Workshop on Interactions between Sparse models and Technology" (iTWIST) is to foster collaboration between interna…
Quantized Iterative Hard Thresholding: Bridging 1-bit and High-Resolution Quantized Compressed Sensing
Laurent Jacques, Kévin Degraux, Christophe De Vleeschouwer
In this work, we show that reconstructing a sparse signal from quantized compressive measurement can be achieved in an unified formalism whatever the (scalar) quantization resoluti…