Abstract.
The aim of this work is to test the application of a new multispectral imaging system, named Hypercolorimetric Multispectral Imaging, on two little 17th century oil paintings on copper in order to support the restoration activities. Hypercolorimetric Multispectral Imaging is a non-invasive, rapid and diagnostic technique that allows in situ accurate and reproducible spectral reflectance measurements between 300nm and 1000nm to obtain seven monochromatic very high spatial resolution images (36 megapixels starting from RAW format). The acquired images are transformed into radiometric and colorimetric measurements, consisting of 7 monochromatic images of spectral reflectance and one colorimetric image. All these calibrated images constitute the base for further processing performed through a dedicated software that implements a number of functions. In the present paper, a subset of those functions has been used. Specifically: Principal Component Analysis, spectral clustering, spectral mapping, multiband contrast enhancement and edge detection. Combining calibrated images of different spectral regions acquisitions, it was possible to extract relevant information about the state of conservation of the two copper paintings and further significant details were readable compared with the data coming from each single acquisition. The Hypercolorimetric Multispectral Imaging acquisition process revealed to be fast allowing to be performed during the cleaning stage of the paintings. The imaging nature of the analysis allowed to compare and map different areas of the surfaces producing degradation maps of the painting layers, which represents a precious decision-making tool for conservators.
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References
I. Horovitz, The Conservator 10, 44 (1986)
D.A. Scott, Copper and Bronze in Art: Corrosion, Colorants, and Conservation (J. Paul Getty Museum Pubs, Los Angeles, 2002)
M.L. Oliveira, A technical investigation of an oil painting on copper support, including a story on consolidants for treatment, Master Thesis, Faculdade de Ciências e Tecnologia, Universidade Nova de Lisboa (2015)
D. Vega, I.P. Cardoso, L. Carlyle, Conserv. Patrim. 27, 23 (2018)
E.P. Bowron, A brief history of European oil paintings on copper, 1560–1775, in Copper as Canvas: Two Centuries of Masterpiece Paintings on Copper, 1575–1775, edited by M. Komanecky (Oxford University Press, Phoenix Art Museum, New York, 1999) pp. 9--30
L.C. Palopoulou, D. Watkinson, Rev. Conserv. 7, 65 (2006)
K. Martinez, J. Cupitt, D. Saunders, R. Pillay, Proc. IEEE 90, 28 (2002)
A. Polak, T. Kelmana, P. Murray, S. Marshall, D.J.M. Stothard, N. Eastaugh, F. Eastaugh, J. Cult. Herit. 26, 1 (2017)
A. Casini, M. Bacci, C. Cucci, F. Lotti, S. Porcinai, M. Picollo, B. Radicati, M. Poggesi, L. Stefani, Fiber optic reflectance spectroscopy and hyper-spectral image spectroscopy: two integrated techniques for the study of the Madonna dei Fusi, in Proceedings of SPIE5857, Optical Methods for Arts and Archaeology, Munich, 2005, edited by R. Salimbeni, L. Pezzati, Vol. 585 (SPIE, Washington, 2005)
F. Daniel, A. Mounier, J. Pérez-Arantegui, C. Pardos, N. Prieto-Taboada, S.F.-O.d. Vallejuelo, K. Castro, Microchem. J. 126, 113 (2016)
J. Dyer, G. Verri, J. Cupitt, Multispectral Imaging in Reflectance and Photo-induced Luminescence modes: A User Manual (The British Museum, London, 2013) Version 1.0
A. Cosentino, Archeomatica 2, 12 (2015)
A. Cosentino, e-Preserv. Sci. 12, 1 (2015)
A. Cosentino, J. Conserv. Museum Stud. 13, 1 (2015)
H. Liang, D. Saunders, J. Cupitt, J. Imag. Sci. Technol. 49, 551 (2005)
A. Pelagotti, A. Del Mastio, A. De Rosa, A. Piva, IEEE Signal Process. Mag. 25, 27 (2008)
R. Sitnik, J.F. Krzeslowski, G. Maczkowski, Opt. Eng. 51, 021115 (2012)
C. Fischer, I. Kakoulli, Stud. Conserv. 51, 3 (2006)
D. Lau, C. Villis, S. Furmanc, M. Livetta, Anal. Chim. Acta 610, 15 (2008)
A. Casini, F. Lotti, M. Picollo, L. Stefani, E. Buzzegoli, Stud. Conserv. 44, 39 (1999)
R.C. Gonzalez, R.E. Woods, Digital Image Processing, 3rd edition (Prentice Hall, Upper Saddle River, N.J., 2008)
G. Capobianco, L. Calienno, C. Pelosi, M. Scacchi, G. Bonifazi, G. Agresti, R. Picchio, U. Santamaria, S. Serranti, A. Lo Monaco, Spectrochim. Acta A 172, 34 (2017)
C. Pelosi, G. Capobianco, G. Agresti, G. Bonifazi, F. Morresi, S. Rossi, U. Santamaria, S. Serranti, Spectrochim. Acta A 198, 92 (2018)
M. Melis, M. Miccoli, D. Quarta, Multispectral hypercolorimetry and automatic guided pigment identification: some masterpieces case studies, in Proceedings of SPIE 8790, Optics for Arts, Architecture, and Archaeology IV, Munich, 2013, edited by L. Pezzati, P. Targowski, Vol. 8790 (SPIE, Washington, 2013)
A. Stock, Preparing a copper panel for painting: a late sixteenth-century reconstruction, in Artists’ Footsteps - The Reconstruction of Pigments and Paintings, edited by L. Wrapson, J. Rose, R. Miller, B. Bucklow (Archetype Publications, London, 2012) pp. 197--202
L. Fuster Lopez, Paintings on copper (and other metal plates): production, degradation and conservation issues, in Proceedings of the symposium held at the Universitat Politècnica de València, Valencia, Spain, January 27–28 (2017)
CEN EN17138, Conservation of cultural heritage - Methods and materials for cleaning porous inorganic materials (CEN, Brussels, 2017)
M. Miccoli, M. Melis, Multispectral light metering system for cultural heritage diagnosis and conservation, in Proceedings of SPIE 8790, Optics for Arts, Architecture, and Archaeology IV, Munich, 2013, edited by L. Pezzati, P. Targowski, Vol. 8790 (SPIE, Washington, 2013),
M. Melis, M. Miccoli, Trasformazione evoluzionistica di una fotocamera reflex digitale in un sofisticato strumento per misure fotometriche e colorimetriche, in Colore e Colorimetria contributi multidisciplinari, edited by M. Rossi, A. Siniscalco, Vol. IX A (Maggioli Editore, Santarcangelo di Romagna, 2013) pp. 28--38
M. Samarelli, M. Melis, M. Miccoli, E. Egarter Vigl, A.R. Zink, J. Cult. Herit. 16, 753 (2015)
M. Barni, A. Pelagotti, A. Piva, IEEE Sign. Proc. Mag. 22, 141 (2005)
P. Abry, A.G. Klein, W.A. Sethares, C.R. Johnson Jr., IEEE Signal Process Mag. 16, 14 (2015)
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Colantonio, C., Pelosi, C., D’Alessandro, L. et al. Hypercolorimetric multispectral imaging system for cultural heritage diagnostics: an innovative study for copper painting examination. Eur. Phys. J. Plus 133, 526 (2018). https://doi.org/10.1140/epjp/i2018-12370-9
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DOI: https://doi.org/10.1140/epjp/i2018-12370-9