Convolutional neural network exploiting pixel surroundings to reveal hidden features in artwork NIR reflectograms

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SYSNO	0562826
Title	Convolutional neural network exploiting pixel surroundings to reveal hidden features in artwork NIR reflectograms
Author(s)	Karella, Tomáš (UTIA-B) [ZOI]_ORCID Blažek, Jan (UTIA-B) [ZOI]_{RID, ORCID} Striová, J. (IT)
Source Title	Journal of Cultural Heritage. Roč. 58, November–December (2022), s. 186-198. - : Elsevier
Document Type	Článek v odborném periodiku
Grant	GA21-03921S GA ČR - Czech Science Foundation (CSF)
	StrategieAV21/1, CZ - Czech Republic
Institutional support	UTIA-B - RVO:67985556
Language	eng
Country	NL
Keywords	Signal separation * Concealed features visualization * Artwork analysis * Infrared reflectography * Convolutional neural networks
Cooperating institutions	National Research Council (CNR), National Institute of Optics (INO) (Italy)
URL	https://www.sciencedirect.com/science/article/pii/S1296207422001637?via%3Dihub
Permanent Link	https://hdl.handle.net/11104/0335176

Number of the records: 1