Unveiling the invisible: mathematical methods for restoring and interpreting illuminated manuscripts

Simple item page
dc.contributor.authorCalatroni, Luca
dc.contributor.authord’Autume, Marie
dc.contributor.authorHocking, Rob
dc.contributor.authorPanayotova, Stella
dc.contributor.authorParisotto, Simone
dc.contributor.authorRicciardi, Paola
dc.contributor.authorSchönlieb, Carola-Bibiane
dc.date.accessioned2018-09-25T06:02:44Z
dc.date.available2018-09-25T06:02:44Z
dc.date.issued2018-09-24
dc.date.updated2018-09-25T06:02:41Z
dc.description.abstractAbstract The last 50 years have seen an impressive development of mathematical methods for the analysis and processing of digital images, mostly in the context of photography, biomedical imaging and various forms of engineering. The arts have been mostly overlooked in this process, apart from a few exceptional works in the last 10 years. With the rapid emergence of digitisation in the arts, however, the arts domain is becoming increasingly receptive to digital image processing methods and the importance of paying attention to this therefore increases. In this paper we discuss a range of mathematical methods for digital image restoration and digital visualisation for illuminated manuscripts. The latter provide an interesting opportunity for digital manipulation because they traditionally remain physically untouched. At the same time they also serve as an example for the possibilities mathematics and digital restoration offer as a generic and objective toolkit for the arts.
dc.identifier.citationHeritage Science. 2018 Sep 24;6(1):56
dc.identifier.doi10.17863/CAM.28053
dc.identifier.urihttps://www.repository.cam.ac.uk/handle/1810/280687
dc.language.rfc3066en
dc.rights.holderThe Author(s)
dc.titleUnveiling the invisible: mathematical methods for restoring and interpreting illuminated manuscripts
dc.typeJournal Article
rioxxterms.versionofrecord10.1186/s40494-018-0216-z
Files
Original bundle
Now showing 1 - 3 of 3
No Thumbnail Available
Name:
40494_2018_216_MOESM1_ESM.avi
Size:
4.3 MB
Format:
Unknown data format
Download
No Thumbnail Available
Name:
40494_2018_216_MOESM2_ESM.avi
Size:
4.88 MB
Format:
Unknown data format
Download
Thumbnail Image
Name:
40494_2018_Article_216.pdf
Size:
6.46 MB
Format:
Adobe Portable Document Format
Download
License bundle
Now showing 1 - 1 of 1
No Thumbnail Available
Name:
license.txt
Size:
12.8 KB
Format:
Item-specific license agreed upon to submission
Download
Collections
BioMed Central Publications