Painting Authorship and Forgery Detection Challenges with AI Image Generation Algorithms: Rembrandt and 17th Century Dutch Painters as a Case Study
Image authorship attribution presents many challenges and difficulties which have increased with the capabilities presented by synthetic image generation through different artificial intelligence algorithms available today. The hypothesis in this research considers the possibility of using artificial intelligence as a tool to detect forgeries through the usage of a deep learning algorithm. The proposed algorithm was trained using a dataset comprised of paintings by Rembrandt and other 17th century Dutch painters. Three experiments were performed with the proposed algorithm. The first was to bu... Mehr ...
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Dokumenttyp: | Artikel |
Erscheinungsdatum: | 2023 |
Reihe/Periodikum: | International Journal of Interactive Multimedia and Artificial Intelligence, Vol 7, Iss 7, Pp 7-13 (2023) |
Verlag/Hrsg.: |
Universidad Internacional de La Rioja (UNIR)
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Schlagwörter: | artificial intelligence / authentication / image generation / machine learning / neural network / Technology / T |
Sprache: | Englisch |
Permalink: | https://search.fid-benelux.de/Record/base-28987893 |
Datenquelle: | BASE; Originalkatalog |
Powered By: | BASE |
Link(s) : | https://doi.org/10.9781/ijimai.2022.11.005 |