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Statistical image processing (Decorrelation Stretch) and deep learning (CycleGANs) to restore images of faded artworks. Round#2

Bibliographic Data

ID22260110
EditorsMathias Bellat (0000-0003-0319-1562, Baden-Wuttenberg, University of Tübingen – Tübingen, Germany), Alex Brandsen (0000-0003-1623-1340, Digital Archaeology, Leiden University – Leiden, Netherlands)
Year2025
Publication date2025-07-28
Open AccessYes
TypeARTICLE
VenuePeer Community In Archaeology (JOURNAL)
Journal identifiersISSN: 2742-1929 • E-ISSN: 2742-1929
PublisherPeer Community In (PUBLISHER • FR)
DOI10.24072/pci.archaeo.100543.d2
OpenAlexW4413357339
LanguageEN

A recommendation of: Kazutaka Kawano, Masatoshi Itagaki, Haruhiro Fujita, Ryo Yamamoto, Toshiki Takeuchi, Haruhiko Ochiai Statistical image processing (Decorrelation Stretch) and deep learning (CycleGANs) to restore images of faded artworks https://doi.org/10.5281/zenodo.16888802

Computer vision · Decorrelation · Image processing · Computer Science · Image Processing and 3D Reconstruction · Artificial Intelligence

Highly citedNo

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Ethnos_APP • Open Source Project • MIT License • Frontend v2.0.0 • Privacy and Cookies • API Documentation: api.ethnos.app/docs • API Source Code: GitHub • DOI: 10.5281/zenodo.17049435 • Frontend Source Code: GitHub • DOI: 10.5281/zenodo.17050053 • cruz.rio.br • Expectantes Misericordiae