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Digital image processing of the Ghent altarpiece: supporting the painting's study and conservation treatment

Aleksandra Pizurica UGent, Ljiljana Platisa UGent, Tijana Ruzic, Bruno Cornelis, Ann Dooms, Maximiliaan Martens UGent, Hélène Dubois UGent, Bart Devolder, Marc De Mey and Ingrid Daubechies (2015) IEEE SIGNAL PROCESSING MAGAZINE. 32(4). p.112-122
abstract
In this article, we show progress in certain image processing techniques that can support the physical restoration of the painting, its art-historical analysis, or both. We show how analysis of the crack patterns could indicate possible areas of overpaint, which may be of great value for the physical restoration campaign, after further validation. Next, we explore how digital image inpainting can serve as a simulation for the restoration of paint losses. Finally, we explore how the statistical analysis of the relatively simple and frequently recurring objects (such as pearls in this masterpiece) may characterize the consistency of the painter’s style and thereby aid both art-historical interpretation and physical restoration campaign.
Please use this url to cite or link to this publication:
author
organization
year
type
journalArticle (original)
publication status
published
subject
keyword
crack detection, inpainting, digital image processing, statistical analysis, virtual restoration
journal title
IEEE SIGNAL PROCESSING MAGAZINE
SPM
volume
32
issue
4
pages
112 - 122
publisher
IEEE
Web of Science type
Article
Web of Science id
000356539400015
JCR category
ENGINEERING, ELECTRICAL & ELECTRONIC
JCR impact factor
6.671 (2015)
JCR rank
3/255 (2015)
JCR quartile
1 (2015)
ISSN
1053-5888
DOI
10.1109/MSP.2015.2411753
language
English
UGent publication?
yes
classification
A1
copyright statement
I have transferred the copyright for this publication to the publisher
id
5968544
handle
http://hdl.handle.net/1854/LU-5968544
date created
2015-05-28 15:46:47
date last changed
2016-12-19 15:43:30
@article{5968544,
  abstract     = {In this article, we show progress in certain image processing
techniques that can support the physical restoration of the painting, its art-historical analysis, or both. We show how analysis of the crack patterns could indicate possible areas of overpaint, which may be of great value for the physical restoration campaign, after further validation. Next, we explore how digital image inpainting can serve as a simulation for the restoration of paint losses. Finally, we explore how the statistical analysis of the relatively simple and frequently recurring objects (such as pearls in this masterpiece) may characterize the consistency of the painter{\textquoteright}s style and thereby aid both art-historical interpretation and physical restoration campaign.},
  author       = {Pizurica, Aleksandra and Platisa, Ljiljana and Ruzic, Tijana and Cornelis, Bruno and Dooms, Ann and Martens, Maximiliaan and Dubois, H{\'e}l{\`e}ne and Devolder, Bart and De Mey, Marc and Daubechies, Ingrid },
  issn         = {1053-5888},
  journal      = {IEEE SIGNAL PROCESSING MAGAZINE},
  keyword      = {crack detection,inpainting,digital image processing,statistical analysis,virtual restoration},
  language     = {eng},
  number       = {4},
  pages        = {112--122},
  publisher    = {IEEE},
  title        = {Digital image processing of the Ghent altarpiece: supporting the painting's study and conservation treatment},
  url          = {http://dx.doi.org/10.1109/MSP.2015.2411753},
  volume       = {32},
  year         = {2015},
}

Chicago
Pizurica, Aleksandra, Ljiljana Platisa, Tijana Ruzic, Bruno Cornelis, Ann Dooms, Maximiliaan Martens, Hélène Dubois, Bart Devolder, Marc De Mey, and Ingrid Daubechies. 2015. “Digital Image Processing of the Ghent Altarpiece: Supporting the Painting’s Study and Conservation Treatment.” Ieee Signal Processing Magazine 32 (4): 112–122.
APA
Pizurica, A., Platisa, L., Ruzic, T., Cornelis, B., Dooms, A., Martens, M., Dubois, H., et al. (2015). Digital image processing of the Ghent altarpiece: supporting the painting’s study and conservation treatment. IEEE SIGNAL PROCESSING MAGAZINE, 32(4), 112–122.
Vancouver
1.
Pizurica A, Platisa L, Ruzic T, Cornelis B, Dooms A, Martens M, et al. Digital image processing of the Ghent altarpiece: supporting the painting’s study and conservation treatment. IEEE SIGNAL PROCESSING MAGAZINE. IEEE; 2015;32(4):112–22.
MLA
Pizurica, Aleksandra, Ljiljana Platisa, Tijana Ruzic, et al. “Digital Image Processing of the Ghent Altarpiece: Supporting the Painting’s Study and Conservation Treatment.” IEEE SIGNAL PROCESSING MAGAZINE 32.4 (2015): 112–122. Print.