Inpainting, or virtual image completion, is sometimes the only way of restoring precious artwork. The ideas and tools of inpainting are described here for a broad readership. The real-world restoration of an illuminated manuscript shows the power of the technology and illustrates opportunities for technology development and art conservation.
Inpainting, or virtual image completion, is sometimes the only way of restoring precious artwork. The ideas and tools of inpainting are described here for a broad readership. The real-world restoration of an illuminated manuscript shows the power of the technology and illustrates opportunities for technology development and art conservation.
Simone Parisotto received his Ph.D. in Applied Mathematics in 2019, from the University of Cambridge. Following that, he served as Research Associate for the Fitzwilliam Museum in Cambridge. His research interests are in variational and numerical methods for inverse imaging problems, focusing on mathematical applications to heritage science.
Inhaltsangabe
1. Introduction 2. Local inpainting methods 3. Non-local inpainting methods 4. Deep learning inpainting methods 5. Methods inspired from cultural heritage 6. Conclusions Appendix. Manuscripts in focus Bibliography Index.