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EnglishAbstract. InCulturalHeritage(CH)imaging,dataacquiredwithindif- ferent spectral regions are often used to inspect surface and sub-surface features. Due to the experimental setup, these images may suffer from intensity inhomogeneities, which may prevent conservators from distin- guishing the physical properties of the object under restoration. Further- more, in multi-modal imaging, the transfer of information between one modality to another is often used to integrate image contents. In this paper, we apply the image osmosis model proposed in [4,10,12] to solve correct these problems arising when diagnostic CH imaging tech- niques based on reflectance, emission and fluorescence mode in the opti- cal and thermal range are used. For an efficient computation, we use stable operator splitting techniques to solve the discretised model. We test our methods on real artwork datasets: the thermal measurements of the mural painting “Monocromo” by Leonardo Da Vinci, the UV-VIS- IR imaging of an ancient Russian icon and the Archimedes Palimpsest dataset.
| Titolo: | Digital Cultural Heritage Imaging via Osmosis Filtering |
| Autori: | |
| Data di pubblicazione: | 2018 |
| Serie: | |
| Handle: | http://hdl.handle.net/11562/991508 |
| ISBN: | 978-3-319-94210-0 |
| Appare nelle tipologie: | 04.01 Contributo in atti di convegno |
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