Unveiling the invisible: mathematical methods for restoring and interpreting illuminated manuscripts-Reference-Cited by-同舟云学术

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

Published:2018-09-24 Issue:1 Volume:6 Page:
ISSN:2050-7445
Container-title:Heritage Science
language:en
Short-container-title:Herit Sci

Author:

Calatroni Luca,d’Autume Marie,Hocking Rob,Panayotova Stella,Parisotto Simone,Ricciardi Paola,Schönlieb Carola-Bibiane^ORCID

Funder

Engineering and Physical Sciences Research Council

Alan Turing Institute

Leverhulme Trust

Isaac Newton Institute for Mathematical Sciences

Fondation Math?matique Jacques Hadamard

Horizon 2020

Cantab Capital Institute for the Mathematics of Information

Publisher

Springer Science and Business Media LLC

Subject

Archaeology,Archaeology,Conservation

Link

http://link.springer.com/content/pdf/10.1186/s40494-018-0216-z.pdf

Reference53 articles.

1. Polatkan G, Jafarpour S, Brasoveanu A, Hughes SM, Daubechies I. Detection of forgery in paintings using supervised learning. ICIP. 2009. https://doi.org/10.1109/ICIP.2009.5413338 .

2. Ruzic T, Cornelis B, Platisa L, Pizurica A, Dooms A, Philips W, Martens M, De Mey M, Daubechies I. Virtual restoration of the Ghent Altarpiece using crack detection and inpainting. ACIVS. 2011;6915(9):417–28. https://doi.org/10.1007/978-3-642-23687-7_38 .

3. Anitha A, Brasoveanu A, Duarte ME, Hughes SM, Daubechies I, Dik J, Janssens K, Alfeld M. Restoration of X-ray fluorescence images of hidden paintings. Signal Process. 2013;93:592–604.

4. Cornelis B, Ruzic T, Gezels E, Dooms A, Pizurica A, Platisa L, Cornelis J, Martens M, De Mey M, Daubechies I. Crack detection and inpainting for virtual restoration of paintings—the case of the Ghent Altarpiece. Signal Process. 2013;93(3):605–19. https://doi.org/10.1016/j.sigpro.2012.07.022 .

5. Pizurica A, Platisa L, Ruzic T, Cornelis B, Dooms A, Martens M, Dubois H, Devolder B, De Mey M, Daubechies I. Digital image processing of the Ghent Altarpiece: supporting the painting’s study and conservation treatment. IEEE Signal Process Mag. 2015;32(4):112–22. https://doi.org/10.1109/msp.2015.2411753 .

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