Computational Restoration of Digitised Manuscripts
Written artefacts can suffer various forms of degradation due to preservation conditions or the digitisation process. In some cases, content is intentionally damaged, as seen with palimpsests. This research direction focuses on developing machine learning approaches to restore and reconstruct damaged contents in written artefacts using image information and other imaging sources such as MSI and XRFi. It encompasses topics like generative image inpainting, image registration, and image enhancement techniques. By employing these advanced methods, scholars can recover and study the original content of degraded manuscripts.