Multispectral Compressive Imaging Strategies using Fabry-Pérot Filtered Sensors

no code implementations • 6 Feb 2018 • Kévin Degraux, Valerio Cambareri, Bert Geelen, Laurent Jacques, Gauthier Lafruit

This paper introduces two acquisition device architectures for multispectral compressive imaging.

Super-Resolution

Sparse Support Recovery with Non-smooth Loss Functions

no code implementations • NeurIPS 2016 • Kévin Degraux, Gabriel Peyré, Jalal Fadili, Laurent Jacques

More precisely, we focus in detail on the cases of $\ell_1$ and $\ell_\infty$ losses, and contrast them with the usual $\ell_2$ loss. While these losses are routinely used to account for either sparse ($\ell_1$ loss) or uniform ($\ell_\infty$ loss) noise models, a theoretical analysis of their performance is still lacking.