The complementary information provided by the various techniques can be exploited to identify the different materials, detecting restorations, classification or for virtual restoration, virtual cleaning and so on.
Image Data Processing and Modeling
|The various diagnostic services that we offer are based on different physical principles and capture different and often complementary information, that often can to be joined together to draw more informative results.
These analyses are meant to automatically and meaningfully combine different diagnostics modalities and boost their possibilities for material detection, classification, change detection, and unmixing. We use custom algorithms, similar to the ones common in e.g. remote sensing application. E.g. we can jointly process the multispectral data acquired in the visible, IR and Uv fluorescence modes to locate and identify the different materials on the painting.
We can provide a cluster of applications of virtual restoration. In this field, different methods have been studied, with various goals.The current visual appearance of a painting may be altered due to ageing or unfortunate events.
It is certainly questionable whether a real conservation treatment should aim at bringing the artwork back in time i.e. at the moment in which the artist completed it. However, on a virtual representation of the artwork, many more options are possible. The craquelure removal is, for example, a rather straightforward application, which proved to improve the readability of the image to a significant extend. Another possibility in this direction is offered by the algorithms for lacuna filling.