30 citations · 110 across the 10 of their papers we have counts for
11 papers
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…
Variational Osmosis for Non-linear Image Fusion
Simone Parisotto, Luca Calatroni, Aurélie Bugeau +2
We propose a new variational model for non-linear image fusion. Our approach is based on the use of an osmosis energy term related to the one studied in Vogel et al. (2013) and Wei…
Visual illusions via neural dynamics: Wilson-Cowan-type models and the efficient representation principle
Marcelo Bertalmío, Luca Calatroni, Valentina Franceschi +3
In this work we have aimed to reproduce supra-threshold perception phenomena, specifically visual illusions, with Wilson-Cowan-type models of neuronal dynamics. We have found that…
Analysis and optimisation of a variational model for mixed Gaussian and Salt & Pepper noise removal
Luca Calatroni, Kostas Papafitsoros
We analyse a variational regularisation problem for mixed noise removal that was recently proposed in [14]. The data discrepancy term of the model combines and terms in…
Anisotropic osmosis filtering for shadow removal in images
Simone Parisotto, Luca Calatroni, Marco Caliari +2
We present an anisotropic extension of the isotropic osmosis model that has been introduced by Weickert et al.~(Weickert, 2013) for visual computing applications, and we adapt it s…
Infimal convolution of data discrepancies for mixed noise removal
Luca Calatroni, Juan Carlos De Los Reyes, Carola-Bibiane Schönlieb
We consider the problem of image denoising in the presence of noise whose statistical properties are a combination of two different distributions. We focus on noise distributions t…
Graph clustering, variational image segmentation methods and Hough transform scale detection for object measurement in images
Luca Calatroni, Yves van Gennip, Carola-Bibiane Schönlieb +2
We consider the problem of scale detection in images where a region of interest is present together with a measurement tool (e.g. a ruler). For the segmentation part, we focus on t…
Bilevel approaches for learning of variational imaging models
Luca Calatroni, Cao Chung, Juan Carlos De Los Reyes +2
We review some recent learning approaches in variational imaging, based on bilevel optimisation, and emphasize the importance of their treatment in function space. The paper covers…
Dynamic sampling schemes for optimal noise learning under multiple nonsmooth constraints
Luca Calatroni, Juan Carlos De Los Reyes, Carola-Bibiane Schönlieb
We consider the bilevel optimisation approach proposed by De Los Reyes, Schönlieb (2013) for learning the optimal parameters in a Total Variation (TV) denoising model featuring for…
A primal-dual approach for a total variation Wasserstein flow
Martin Benning, Luca Calatroni, Bertram Düring +1
We consider a nonlinear fourth-order diffusion equation that arises in denoising of image densities. We propose an implicit time-stepping scheme that employs a primal-dual method f…
ADI splitting schemes for a fourth-order nonlinear partial differential equation from image processing
Luca Calatroni, Bertram Düring, Carola-Bibiane Schönlieb
We present directional operator splitting schemes for the numerical solution of a fourth-order, nonlinear partial differential evolution equation which arises in image processing.…