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Spectral Imaging and Archival Data in Analysing Madonna of the Rabbit Paintings by Manet and Titian
Author(s) -
Striova Jana,
Ruberto Chiara,
Barucci Marco,
Blažek Jan,
Kunzelman Diane,
Dal Fovo Alice,
Pampaloni Enrico,
Fontana Raffaella
Publication year - 2018
Publication title -
angewandte chemie
Language(s) - English
Resource type - Journals
eISSN - 1521-3757
pISSN - 0044-8249
DOI - 10.1002/ange.201800624
Subject(s) - multispectral image , painting , visibility , scanner , near infrared spectroscopy , computer science , fluorescence , characterization (materials science) , oil painting , remote sensing , artificial intelligence , optics , materials science , computer vision , art , art history , geology , nanotechnology , physics
A concise insight into the outputs provided by the latest prototype of visible‐near infrared (Vis‐NIR) multispectral scanner (National Research Council‐National Institute of Optics, CNR‐INO, Italy) is presented. The analytical data acquired on an oil painting Madonna of the Rabbit by É. Manet are described. In this work, the Vis‐NIR was complemented with X‐ray fluorescence (XRF) mapping for the chemical and spatial characterization of several pigments. The spatially registered Vis‐NIR data facilitated their processing by spectral correlation mapping (SCM) and artificial neural network (ANN) algorithm, respectively, for pigment mapping and improved visibility of pentimenti and of underdrawing style. The data provided several key elements for the comparison with a homonymous original work by Titian studied within the ARCHive LABoratory (ARCHLAB) transnational access project.