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J. Imaging 2019, 5(1), 8; https://doi.org/10.3390/jimaging5010008

Hyperspectral Imaging as Powerful Technique for Investigating the Stability of Painting Samples

1
Department of Chemical Engineering Materials & Environment, Sapienza, Rome University, Via Eudossiana 18, 00184 Rome, Italy
2
Department of Economics, Engineering, Society and Business Organization, Laboratory of Diagnostics and Materials Science, University of Tuscia, Largo dell’Università, 01100 Viterbo, Italy
*
Author to whom correspondence should be addressed.
Received: 26 October 2018 / Revised: 21 November 2018 / Accepted: 26 December 2018 / Published: 3 January 2019
(This article belongs to the Special Issue The Future of Hyperspectral Imaging)
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Abstract

The aim of this work is to present the utilization of Hyperspectral Imaging for studying the stability of painting samples to simulated solar radiation, in order to evaluate their use in the restoration field. In particular, ready-to-use commercial watercolours and powder pigments were tested, with these last ones being prepared for the experimental by gum Arabic in order to propose a possible substitute for traditional reintegration materials. Samples were investigated through Hyperspectral Imaging in the short wave infrared range before and after artificial ageing procedure performed in Solar Box chamber under controlled conditions. Data were treated and elaborated in order to evaluate the sensitivity of the Hyperspectral Imaging technique to identify the variations on paint layers, induced by photo-degradation, before they could be detected by eye. Furthermore, a supervised classification method for monitoring the painted surface changes, adopting a multivariate approach was successfully applied. View Full-Text
Keywords: Hyperspectral imaging; painting samples; retouching pigments; watercolours; multivariate analysis Hyperspectral imaging; painting samples; retouching pigments; watercolours; multivariate analysis
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This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited (CC BY 4.0).
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Bonifazi, G.; Capobianco, G.; Pelosi, C.; Serranti, S. Hyperspectral Imaging as Powerful Technique for Investigating the Stability of Painting Samples. J. Imaging 2019, 5, 8.

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