Publications & preprints

Preprints

  1. L. Calatroni, G. Garrigos, L. Rosasco, S. Villa, Accelerated iterative regularization via dual diagonal descent, (2019). arXiv preprint
  2. M. Bertalmío, L. Calatroni, V. Franceschi, B. Franceschiello, D. Prandi, Cortical-inspired Wilson-Cowan-type equations for orientation-dependent contrast perception modelling, invited paper, (2019). arXiv preprint
  3. S. Parisotto, L. Calatroni, A. Bugeau, N. Papadakis, C.-B. Schönlieb, Variational Osmosis for Non-linear Image Fusion, (2019). arXiv preprint - Code (GitHub)

Journal papers

  1. M. Bertalmío, L. Calatroni, V. Franceschi, B. Franceschiello, A. Gomez-Villa, D. Prandi, Visual illusions via neural dynamics: Wilson-Cowan-type models and the efficient representation principle, to appear in Journal of Neurophysiology, (2019). arXiv preprint - Code (GitHub)
  2. L. Calatroni, K. Papafitsoros, Analysis and optimisation of a variational model for mixed Gaussian and Salt & Pepper noise removal, Inverse Problems, 35 (11), (2019). arXiv preprint - Published version
  3. L. Calatroni, A. Chambolle, Backtracking strategies for accelerated descent methods with smooth composite objectives, SIAM Journal on Optimization, 29 (3), (2019). arXiv preprint - Published version
  4. L. Calatroni, A. Lanza, M. Pragliola, F. Sgallari, A flexible space-variant anisotropic regularisation for image restoration with automated parameter selection, SIAM Journal of Imaging Sciences, 12 (2), (2019). arXiv preprint - Published version.
  5. S. Parisotto, L. Calatroni, M. Caliari, C.-B. Schönlieb, J. Weickert, Anisotropic osmosis filtering for shadow removal in images, Inverse Problems, 35 (5), (2019). arXiv preprint - Published version - Code (GitHub)
  6. L. Calatroni, M. D'Autume, R. Hocking, S. Panayotova, S. Parisotto, P. Ricciardi, C.-B. Schönlieb, Unveiling the invisible - mathematical methods for restoring and interpreting illuminated manuscripts, Heritage Science, 6:56 (2018). arXiv preprint - Published version - Code (GitHub) - SpringerOpen blog
  7. L. Calatroni, J. C. De Los Reyes, C.-B. Schönlieb, Infimal convolution of data discrepancies for mixed noise removal, SIAM Journal of Imaging Sciences, 10 (3), (2017). arXiv preprint - Published version
  8. L. Calatroni, Y. van Gennip, H. Rowland, C.-B. Schönlieb, A. Flenner, Graph clustering, variational image segmentation methods and Hough transform scale detection for object measurement in images, Journal of Mathematical Imaging and Vision, 57 (2), (2017). arXiv preprint - Published version
  9. L. Calatroni, C. Cao, J. C. De Los Reyes, C.-B. Schönlieb, T. Valkonen, Bilevel approaches for learning of variational imaging models, RADON book series, vol. 18 on Variational Methods, (2016). arXiv preprint - Published version
  10. L. Calatroni, B. Düring, C. -B. Schönlieb, ADI splitting schemes for a fourth-order nonlinear partial differential equation from image processing, Discrete & Continuous Dynamical Systems Series A, 34 (3), (2014). arXiv preprint - Published version
  11. L. Calatroni, P. Colli, Global solution to the Allen-Cahn equation with singular potentials and dynamic boundary conditions, Nonlinear Analysis, 79, (2013). arXiv preprint - Published version

Peer-reviewed conference proceedings

  1. L. Calatroni, A. Lanza, M. Pragliola, F. Sgallari, Space-adaptive anisotropic bivariate Laplacian regularization for image restoration, VipIMAGE 2019, Lecture Notes in Computational Vision and Biomechanics, Springer, 67-79, (2019). arXiv preprint - Published version
  2. L. Calatroni, A. Lanza, M. Pragliola, F. Sgallari, Adaptive parameter selection for weighted-TV image reconstruction problems, to appear in NCMIP 2019, Journal of Physics: Conference Series , IOP Publishing, (2019). arXiv preprint
  3. M. Bertalmío, L. Calatroni, V. Franceschi, B. Franceschiello, D. Prandi, A cortical-inspired model for orientation-dependent contrast perception: a link with Wilson-Cowan equations, Scale Space and Variational Methods in Computer Vision LNCS conference proceedings 2019, Springer (2019). arXiv preprint - Published version
  4. L. Calatroni, S. Parisotto, C. Daffara, Digital Cultural Heritage Imaging via osmosis filtering, in "Image and Signal Processing", ICISP 2018: LNCS 10884, 407-415. Berlin, Springer Cham, (2018). Best paper award arXiv preprint - Published version
  5. L. Calatroni, C. Estatico, N. Garibaldi, S. Parisotto, Alternating Direction Implicit schemes for a PDE-based image osmosis model, NCMIP 2017, Journal of Physics: Conference Series 904, IOP Publishing, (2017). arXiv preprint - Published version
  6. L. Calatroni, J. C. De Los Reyes, C. -B. Schönlieb, Dynamic sampling schemes for optimal noise learning under multiple nonsmooth constraints, in "System Modelling and Optimization", IFIP Advances in Information and Communication Technology 443. Springer Berlin Heidelberg, (2014). arXiv preprint - Published version
  7. M. Benning, L. Calatroni, B. Düring, C.-B. Schönlieb, A primal-dual approach for a total variation Wasserstein flow, in F. Nielson & F. Barbaresco (eds.) GSI 2013: LNCS 8085, 413-421. Berlin, Springer Verlag, (2013). arXiv preprint - Published version

PhD Thesis

Various (popular science)

  • L. Calatroni, M. D'Autume, R. Hocking, S. Panayotova, S. Parisotto, P. Ricciardi, C.-B. Schönlieb, A SpringerOpen blog on our work Unveiling the invisible - mathematical methods for restoring and interpreting illuminated manuscripts, (2018).
  • L. Calatroni, Learning to denoise, Eureka, a University of Cambridge magazine, issue 64, p. 28, (2016).
  • L. Calatroni, MatemaGica e Image Processing: istruzioni per l'uso, AIRInforma, Associazione Internazionale Ricercatori Italiani, (2014).