output
20162021
most citedTechnical Report: Band selection for nonlinear unmixing of hyperspectral images as a maximal clique problem

30 citations

researchers with a paper here

Counting papers with at most 25 authors, so collaboration author lists do not stand in for the people here.

collaborating institutions

7 papers

math.OC2021

COL0RME: Super-resolution microscopy based on sparse blinking/fluctuating fluorophore localization and intensity estimation

Vasiliki Stergiopoulou, Luca Calatroni, José Henrique de Morais Goulart +2

To overcome the physical barriers caused by light diffraction, super-resolution techniques are often applied in fluorescence microscopy. State-of-the-art approaches require specifi…

cs.CV2021★ 6 cited

A cortical-inspired sub-Riemannian model for Poggendorff-type visual illusions

Emre Baspinar, Luca Calatroni, Valentina Franceschi +1

We consider Wilson-Cowan-type models for the mathematical description of orientation-dependent Poggendorff-like illusions. Our modelling improves two previously proposed cortical-i…

math.OC2020★ 9 cited

COL0RME: COvariance-based super-Resolution Microscopy with intensity Estimation

Vasiliki Stergiopoulou, José Henrique de Morais Goulart, Sébastien Schaub +2

Super-resolution light microscopy overcomes the physical barriers due to light diffraction, allowing for the observation of otherwise indistinguishable subcellular entities. Howeve…

math.OC2019★ 9 cited

Accelerated iterative regularization via dual diagonal descent

Luca Calatroni, Guillaume Garrigos, Lorenzo Rosasco +1

We propose and analyze an accelerated iterative dual diagonal descent algorithm for the solution of linear inverse problems with general regularization and data-fit functions. In p…

cs.CV2019★ 15 cited

Cortical-inspired Wilson-Cowan-type equations for orientation-dependent contrast perception modelling

Marcelo Bertalmío, Luca Calatroni, Valentina Franceschi +2

We consider the evolution model proposed in [9, 6] to describe illusory contrast perception phenomena induced by surrounding orientations. Firstly, we highlight its analogies and d…

math.OC2019★ 17 cited

Adaptive parameter selection for weighted-TV image reconstruction problems

Luca Calatroni, Alessandro Lanza, Monica Pragliola +1

We propose an efficient estimation technique for the automatic selection of locally-adaptive Total Variation regularisation parameters based on an hybrid strategy which combines a…

cs.CV2016★ 30 cited

Technical Report: Band selection for nonlinear unmixing of hyperspectral images as a maximal clique problem

Tales Imbiriba, José Carlos Moreira Bermudez, Cédric Richard

Kernel-based nonlinear mixing models have been applied to unmix spectral information of hyperspectral images when the type of mixing occurring in the scene is too complex or unknow…