Simone Parisotto
Simone Parisotto
Image Processing Researcher, siHealth Photonics SRL
Verified email at - Homepage
Cited by
Cited by
Multipurpose, dual-mode imaging in the 3–5 µm range (MWIR) for artwork diagnostics: A systematic approach
C Daffara, S Parisotto, D Ambrosini
Optics and Lasers in Engineering 104, 266-273, 2018
MATLAB Codes for the Image Inpainting Problem
S Parisotto, C Schönlieb
GitHub repository, MATLAB Central File Exchange, 2016
Higher-Order Total Directional Variation: Imaging Applications
S Parisotto, J Lellmann, S Masnou, CB Schönlieb
SIAM Journal on Imaging Sciences 13 (4), 2063-2104, 2020
Mid-infrared thermal imaging for an effective mapping of surface materials and sub-surface detachments in mural paintings: integration of thermography and thermal quasi …
C Daffara, S Parisotto, PI Mariotti
Optics for arts, architecture, and archaeology V 9527, 95270I, 2015
Anisotropic osmosis filtering for shadow removal in images
S Parisotto, L Calatroni, M Caliari, CB Schönlieb, J Weickert
Inverse Problems 35 (5), 054001, 2019
Unveiling the invisible: mathematical methods for restoring and interpreting illuminated manuscripts
L Calatroni, M d’Autume, R Hocking, S Panayotova, S Parisotto, ...
Heritage science 6 (1), 1-21, 2018
Higher-Order Total Directional Variation: Analysis
S Parisotto, S Masnou, CB Schönlieb
SIAM Journal on Imaging Sciences 13 (1), 474-496, 2020
Alternating Direction Implicit (ADI) schemes for a PDE-based image osmosis model
L Calatroni, C Estatico, N Garibaldi, S Parisotto
Journal of Physics: Conference Series 904 (1), 012014, 2017
Variational Osmosis for Non-linear Image Fusion
S Parisotto, L Calatroni, A Bugeau, N Papadakis, CB Schönlieb
IEEE Transactions on Image Processing 29, 5507-5516, 2020
Digital Cultural Heritage imaging via osmosis filtering
S Parisotto, L Calatroni, C Daffara
International Conference on Image and Signal Processing, 407-415, 2018
Anisotropic variational models and PDEs for inverse imaging problems
S Parisotto
University of Cambridge, 2019
Total Directional Variation for Video Denoising
S Parisotto, CB Schönlieb
International Conference on Scale Space and Variational Methods in Computer …, 2019
Dual mode imaging in mid infrared with thermal signal reconstruction for innovative diagnostics of the “Monocromo” by Leonardo da Vinci
C Daffara, S Parisotto, PI Mariotti, D Ambrosini
Scientific Reports 11 (1), 1-10, 2021
Thermal imaging in the 3-5 micron range for precise localization of defects: application on frescoes at the Sforza Castle
C Daffara, S Parisotto, S Mazzocato, PI Mariotti, D Ambrosini
Optics for Arts, Architecture, and Archaeology VIII 11784, 1178410, 2021
Unsupervised clustering of Roman pottery profiles from their SSAE representation
S Parisotto, A Launaro, N Leone, CB Schönlieb
arXiv preprint arXiv:2006.03156, 2020
Art Speaks Maths, Maths Speaks Art
N Leone, S Parisotto, K Targonska-Hadzibabic, S Bucklow, A Launaro, ...
Bridges 2020 Conference Proceedings, 481-484, 2020
Efficient Osmosis Filtering of Thermal-Quasi Reflectography Images for Cultural Heritage
S Parisotto, L Calatroni, C Daffara
arXiv preprint arXiv:1704.04052, 2017
Unsupervised clustering of Roman potsherds via Variational Autoencoders
S Parisotto, N Leone, CB Schönlieb, A Launaro
Journal of Archaeological Science 142, 105598, 2022
An Analysis of Generative Methods for Multiple Image Inpainting
C Ballester, A Bugeau, S Hurault, S Parisotto, P Vitoria
arXiv preprint arXiv:2205.02146, 2022
Fast and stable schemes for non-linear osmosis filtering
L Calatroni, S Morigi, S Parisotto, GA Recupero
arXiv preprint arXiv:2203.15570, 2022
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