Artificial colorization of digitized microfilms: a preliminary study

A lot of available digitized manuscripts online are actually digitized microfilms, a technology dating back from the 1930s. With the progress of artificial colorization, we make the hypothesis that microfilms could be colored with these recent technologies, testing InstColorization. We train a model...

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Veröffentlicht in:Journal of data mining and digital humanities Jg. 2022; H. Towards a Digital Ecosystem:...
Hauptverfasser: Clérice, Thibault, Pinche, Ariane
Format: Journal Article
Sprache:Englisch
Veröffentlicht: INRIA 12.04.2023
Nicolas Turenne
Schlagworte:
[scco.comp]cognitive science/computer science
[shs.litt]humanities and social sciences/literature
Cognitive science
Computer science
Humanities and Social Sciences
Literature
ISSN:2416-5999, 2416-5999
Online-Zugang:Volltext
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Beschreibung
Zusammenfassung:A lot of available digitized manuscripts online are actually digitized microfilms, a technology dating back from the 1930s. With the progress of artificial colorization, we make the hypothesis that microfilms could be colored with these recent technologies, testing InstColorization. We train a model over an ad-hoc dataset of 18 788 color images that are artificially gray-scaled for this purpose. With promising results in terms of colorization but clear limitations due to the difference between artificially grayscaled images and "naturaly" greyscaled microfilms, we evaluate the impact of this artificial colorization on two downstream tasks using Kraken: layout analysis and text recognition. Unfortunately, the results show little to no improvements which limits the interest of artificial colorization on manuscripts in the computer vision domain.
ISSN:2416-5999
2416-5999
DOI:10.46298/jdmdh.8454