Simone Parisotto
Simone Parisotto
Software Developer, Datacolor Industrial Srl
Verified email at - Homepage
Cited by
Cited by
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
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
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
MATLAB Codes for the Image Inpainting Problem
S Parisotto, C Schönlieb
GitHub repository, MATLAB Central File Exchange, 2016
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, 1-21, 2018
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
Higher-Order Total Directional Variation: Analysis
S Parisotto, S Masnou, CB Schönlieb
SIAM Journal on Imaging Sciences 13 (1), 474-496, 2020
Anisotropic osmosis filtering for shadow removal in images
S Parisotto, L Calatroni, M Caliari, CB Schönlieb, J Weickert
Inverse Problems 35 (5), 054001, 2019
Digital cultural heritage imaging via osmosis filtering
S Parisotto, L Calatroni, C Daffara
Image and Signal Processing: 8th International Conference, ICISP 2018 …, 2018
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
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
Unsupervised clustering of Roman potsherds via Variational Autoencoders
S Parisotto, N Leone, CB Schönlieb, A Launaro
Journal of Archaeological Science 142, 105598, 2022
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), 22482, 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
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
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
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
Fast and stable schemes for non-linear osmosis filtering
L Calatroni, S Morigi, S Parisotto, GA Recupero
Computers & Mathematics with Applications 133, 30-47, 2023
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