Advanced search
2 files | 22.97 MB Add to list

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

Author
Organization
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.
Keywords
crack detection, inpainting, digital image processing, statistical analysis, virtual restoration, VIRTUAL RESTORATION, COMPLETION, REMOVAL

Downloads

  • (...).pdf
    • full text (Published version)
    • |
    • UGent only
    • |
    • PDF
    • |
    • 5.68 MB
  • Aleksandra Pizurica et al accepted manuscript.pdf
    • full text (Accepted manuscript)
    • |
    • open access
    • |
    • PDF
    • |
    • 17.29 MB

Citation

Please use this url to cite or link to this publication:

MLA
Pizurica, Aleksandra, et al. “Digital Image Processing of the Ghent Altarpiece : Supporting the Painting’s Study and Conservation Treatment.” IEEE SIGNAL PROCESSING MAGAZINE, vol. 32, no. 4, 2015, pp. 112–22.
APA
Pizurica, A., Platisa, L., Ruzic, T., Cornelis, B., Dooms, A., Martens, M., … Daubechies, I. (2015). Digital image processing of the Ghent altarpiece : supporting the painting’s study and conservation treatment. IEEE SIGNAL PROCESSING MAGAZINE, 32(4), 112–122.
Chicago author-date
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): 112–22.
Chicago author-date (all authors)
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.
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. 2015;32(4):112–22.
IEEE
[1]
A. Pizurica et al., “Digital image processing of the Ghent altarpiece : supporting the painting’s study and conservation treatment,” IEEE SIGNAL PROCESSING MAGAZINE, vol. 32, no. 4, pp. 112–122, 2015.
@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’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, Hélène and Devolder, Bart and De Mey, Marc and Daubechies, Ingrid}},
  issn         = {{1053-5888}},
  journal      = {{IEEE SIGNAL PROCESSING MAGAZINE}},
  keywords     = {{crack detection,inpainting,digital image processing,statistical analysis,virtual restoration,VIRTUAL RESTORATION,COMPLETION,REMOVAL}},
  language     = {{eng}},
  number       = {{4}},
  pages        = {{112--122}},
  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}},
}

Altmetric
View in Altmetric
Web of Science
Times cited: