Abstract
The study of paintings using a multi-sensor approach allows obtaining information on details not visible to the naked eye, such as pentimenti and preparatory drawings. The possibility to concatenate multispectral images, coming from different devices and spectral ranges (from visible to short-wave infrared), allows the creation of hypercube data that can be analysed with chemometric approaches, such as Principal Components Analyses (PCA). Moreover, the use of X-Ray radiation performing radiographic images allows us to reach the inner layers and to detect details of the paintings that are not accessible using optical radiations. In this work, “The Spring” painting, realised by Mario de’ Fiori e Filippo Lauri, was analysed by using a multi-sensor approach: a full spectrum Nikon camera, an InGaAs camera and an Image Plate detector for X-rays to recover hidden details of the artists’ creative process.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Similar content being viewed by others
References
P. Almeida, C. Montagner, R. Jesus, N. Correia, M. Vilarigues, M.J. Melo, S. Nascimento, Analysis of paintings using multi-sensor data, in: 21st Eur. Signal Process. Conf. (EUSIPCO 2013), 2013: pp. 1–5.
G. Bonifazi, G. Capobianco, S. Serranti, R. Calvini, Image data fusion applied to pictorial layers recognition, Proc. 2020 Ital. Conf. Opt. Photonics, ICOP 2020. (2020). https://doi.org/10.1109/ICOP49690.2020.9300343.
M. Alfeld, L. de Viguerie, Recent developments in spectroscopic imaging techniques for historical paintings - A review, Spectrochim. Acta Part B At. Spectrosc. 136 (2017) 81–105. https://doi.org/10.1016/J.SAB.2017.08.003.
S. Legrand, F. Vanmeert, G. Van der Snickt, M. Alfeld, W. De Nolf, J. Dik, K. Janssens, Examination of historical paintings by state-of-the-art hyperspectral imaging methods: From scanning infra-red spectroscopy to computed X-ray laminography, Herit. Sci. 2 (2014) 1–11. https://doi.org/10.1186/2050-7445-2-13/FIGURES/5.
C. Defeyt, E. Van Vyve, F. Leen, F. Vandepitte, B. Gilbert, E. Herens, D. Strivay, Revealing Gauguin’s practice: multi-analytical approach of the Portrait de Suzanne Bambridge, Herit. Sci. 6 (2018) 1–9. https://doi.org/10.1186/S40494-018-0188-Z/FIGURES/7.
R. Radvan, L. Ratoiu, I.M. Cortea, A. Chelmus, L. Angheluta, D. Marinescu, Multi-step approach for characterization of artworks based on hyperspectral imaging and complementary techniques, Proc. - Int. Conf. Dev. ESystems Eng. DeSE. 2018-September (2019) 117–122. https://doi.org/10.1109/DESE.2018.00025.
C. Cucci, J.K. Delaney, M. Picollo, Reflectance Hyperspectral Imaging for Investigation of Works of Art: Old Master Paintings and Illuminated Manuscripts, Acc. Chem. Res. 49 (2016) 2070–2079. https://doi.org/10.1021/acs.accounts.6b00048.
M. Romani, G. Capobianco, L. Pronti, F. Colao, C. Seccaroni, A. Puiu, A.C. Felici, G. Verona-Rinati, M. Cestelli-Guidi, A. Tognacci, M. Vendittelli, M. Mangano, A. Acconci, G. Bonifazi, S. Serranti, M. Marinelli, R. Fantoni, Analytical chemistry approach in cultural heritage: the case of Vincenzo Pasqualoni’s wall paintings in S. Nicola in Carcere (Rome), Microchem. J. 156 (2020) 104920. https://doi.org/10.1016/j.microc.2020.104920.
M. Ricci, S. Laureti, H. Malekmohammadi, S. Sfarra, L. Lanteri, C. Colantonio, G. Calabrò, C. Pelosi, Surface and Interface Investigation of a 15th Century Wall Painting Using Multispectral Imaging and Pulse-Compression Infrared Thermography, Coatings 2021, Vol. 11, Page 546. 11 (2021) 546. https://doi.org/10.3390/COATINGS11050546.
S. Bruni, S. Caglio, V. Guglielmi, G. Poldi, The joined use of n.i. spectroscopic analyses - FTIR, Raman, visible reflectance spectrometry and EDXRF - To study drawings and illuminated manuscripts, Appl. Phys. A Mater. Sci. Process. 92 (2008) 103–108. https://doi.org/10.1007/S00339-008-4454-X/METRICS.
M. Faries, Analytical capabilities of infrared reflectography: an art historian’s perspective in Scientific examination of art: Modern techniques in conservation and analysis (2005), 87–104.
V.S. Popov, D.S. Pershin, P. V. Khrabrov, E.A. Morozova, V.P. Ponomarenko, Reflectography of Artworks in the 0.9–1.7 μm Wavelength Using a SWIR Camera, J. Commun. Technol. Electron. 67 (2022) S66–S74. https://doi.org/10.1134/S1064226922130071/METRICS.
R. Newman, Applications of x rays in art authentication: radiography, x-ray diffraction, and x-ray fluorescence, 3315 (1998) 31–41. https://doi.org/10.1117/12.308590.
A. Impallaria, F. Petrucci, S. Chiozzi, F. Evangelisti, S. Squerzanti, A scanner for in situ X-ray radiography of large paintings: the case of “Paolo and Francesca” by G. Previati, Eur. Phys. J. Plus. 136 (2021) 126. https://doi.org/10.1140/EPJP/S13360-021-01091-X.
M.P. Morigi, F. Casali, Radiography and Computed Tomography for Works of Art, Handb. X-Ray Imaging Phys. Technol. (2017) 1185–1209. https://doi.org/10.1201/9781351228251-59/RADIOGRAPHY-COMPUTED-TOMOGRAPHY-WORKS-ART-MARIA-PIA-MORIGI-FRANCO-CASALI.
K. Krug, J. Dik, M. den Leeuw,. J. Tortora, P. Coan, C. Nemoz, A. Bravin, Visualization of pigment distributions in paintings using synchrotron K-edge imaging. Appl. Phys. A 83 (2006), 247–251. https://doi.org/10.1007/s00339-006-3519-y
L. Pronti, M. Romani, G. Verona-Rinati, O. Tarquini, F. Colao, M. Colapietro, A. Pifferi, M. Cestelli-Guidi, M. Marinelli, Post-Processing of VIS, NIR, and SWIR Multispectral Images of Paintings. New Discovery on the The Drunkenness of Noah, Painted by Andrea Sacchi, Stored at Palazzo Chigi (Ariccia, Rome), Heritage. 2 (2019) 2275–2286. https://doi.org/10.3390/heritage2030139.
L. Pronti, M. Romani, O. Tarquini, G. Verona-Rinati, F. Petrucci, M. Colapietro, A. Pifferi, M. Marinelli, M. Cestelli-Guidi, New insights on the painting “Portrait of Mario Nuzzi”: a preliminary analytical study of Mario Nuzzi’s pictorial production and of his artistic collaborations, Eur. Phys. J. Plus 2020 1358. 135 (2020) 1–14. https://doi.org/10.1140/EPJP/S13360-020-00607-1.
N. Mobaraki, J.M. Amigo, HYPER-Tools. A graphical user-friendly interface for hyperspectral image analysis, Chemom. Intell. Lab. Syst. 172 (2018) 174–187. https://doi.org/10.1016/j.chemolab.2017.11.003.
J.M. Amigo, H. Babamoradi, S. Elcoroaristizabal, Hyperspectral image analysis. A tutorial, Anal. Chim. Acta. 896 (2015) 34–51. https://doi.org/10.1016/J.ACA.2015.09.030.
M. Watanabe, M. Watanabe, D. Zhang, V. Kanhangad, D. Zhang, L.L. Liu, A.B.J. Teoh, S. Shan, X. Chen, W. Gao, J. Jang, H. Kim, M. Thieme, T. Tomonaga, D.J. Hurley, M.S. Nixon, T.M. Sim, F.E. Pollick, Principal Component Analysis, in: Encycl. Biometrics, Springer US, Boston, MA, 2009: pp. 1091–1091. https://doi.org/10.1007/978-0-387-73003-5_479.
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2024 The Author(s), under exclusive license to Springer Nature Switzerland AG
About this chapter
Cite this chapter
Pronti, L. et al. (2024). Multi-sensor Imaging Approach to Highlight Hidden Pentimenti and Underdrawings: The Case of “the Spring” Painting at Chigi Palace of Ariccia. In: Ceccarelli, S., Missori, M., Fantoni, R. (eds) Advanced Technologies for Cultural Heritage Monitoring and Conservation. Digital Innovations in Architecture, Engineering and Construction. Springer, Cham. https://doi.org/10.1007/978-3-031-52497-4_3
Download citation
DOI: https://doi.org/10.1007/978-3-031-52497-4_3
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-031-52496-7
Online ISBN: 978-3-031-52497-4
eBook Packages: Computer ScienceComputer Science (R0)