INLUMINA
version 1.0 (Last update: 07th Jan. 2021)
INLUMINA
The INLUMINA dataset contains a total of 36 testing images for the inpainting problem. These images are details from the Fitzwilliam Museum collection of illuminated manuscripts, supplied with the inpainting mask.
The repository is the companion dataset for the INLUMINA MATLAB Application and the monograph The Art of Inpainting, written by our MACH Team.
Associated publication:
S. Parisotto, P. Vitoria, C. Ballester, A. Bugeau, S. Reynolds, C.-B. Schönlieb.
The Art of Inapainting: A Monograph on Mathematical Methods for the Virtual Restoration of Illuminated Manuscripts. (submitted)
BIBTEX DATASET
@dataset{ParPanReySch2021,
authors = {Simone Parisotto, and Stella Panayotova and Suzanne Reynolds and Carola-Bibiane Schönlieb},
title = {INLUMINA (INpainting of ilLUminated MINiatures App) Dataset},
year = {2021},
publisher = {Zenodo},
doi = {10.5281/zenodo.4320632}
}
authors = {Simone Parisotto, and Stella Panayotova and Suzanne Reynolds and Carola-Bibiane Schönlieb},
title = {INLUMINA (INpainting of ilLUminated MINiatures App) Dataset},
year = {2021},
publisher = {Zenodo},
doi = {10.5281/zenodo.4320632}
}
BIBTEX BOOK
@book{ParVitBalBugReySch2021,
authors = {Simone Parisotto and Patricia Vitoria and Coloma Ballester and Aurélie Bugeau, Suzanne Reynolds and Carola-Bibiane Schönlieb},
title = {The Art of Inpainting: A Monograph on Mathematical Methods for the Virtual Restoration of Illuminated Manuscripts},
year = {2021},
journal = {submitted}
}
authors = {Simone Parisotto and Patricia Vitoria and Coloma Ballester and Aurélie Bugeau, Suzanne Reynolds and Carola-Bibiane Schönlieb},
title = {The Art of Inpainting: A Monograph on Mathematical Methods for the Virtual Restoration of Illuminated Manuscripts},
year = {2021},
journal = {submitted}
}