Abstract
The purpose of this work is the development of a method for the acquisition of multispectral images at the infrared region on cultural heritage artworks. The infrared light is able to penetrate into deeper, to the surface, layers, especially at the mid and far infrared spectrum. To this end, Fourier-transform Infrared spectrophotometer, is utilized for the acquisition of multispectral data via a diffuse reflectance integration sphere to improve the quality of the detected signal. The integration sphere is mounted on a mechanical system to achieve a precise mapping of a region of interest. Then, The acquired data are combined to form the requested multispectral mapping imaging of the artwork. Advanced signal processing techniques are utilized on the spatial and spectral measurements to de-noise and enhance the imaging. Finally, the multispectral mapping reveals the sub-surface details of different inner layers.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Similar content being viewed by others
References
Kubik, M.: Hyperspectral imaging: a new technique for the non-invasive study of artworks. In: Physical Techniques in the Study of Art, Archaeology and Cultural Heritage, vol. 2, pp. 199–259. Elsevier (2007)
Legrand, S., et al.: Examination of historical paintings by state-of-the-art hyperspectral imaging methods: from scanning infra-red spectroscopy to computed X-ray laminography. Springer Heritage Sci. 2(1), 13 (2014)
Maev, R.G., Green, R., Siddiolo, A.: Review of advanced acoustical imaging techniques for nondestructive evaluation of art objects. Res. Nondestr. Eval. 17(4), 191–204 (2006)
Karagiannis, G., et al.: Three-dimensional nondestructive “sampling” of art objects using acoustic microscopy and time-frequency analysis. IEEE Trans. Instrum. Meas. 60(9), 3082–3109 (2011)
Karagiannis, G., et al.: Processing of UV/VIS/nIR/mIR diffuse reflectance spectra and acoustic microscopy echo graphs for stratigraphy determination, using neural networks and wavelet transform. IEEE ICTTA, pp. 1–7 (2008)
Sarmiento, A., et al.: Classification and identification of organic binding media in artworks by means of Fourier transform infrared spectroscopy and principal component analysis. Springer Anal. Bioanal. Chem. 399(10), 3601–3611 (2011)
Attas, M., et al.: Near-infrared spectroscopic imaging in art conservation: investigation of drawing constituents. Elsevier J. Cult. Heritage 4(2), 127–136 (2003)
Fukunaga, K., Hosako, I.: Innovative non-invasive analysis techniques for cultural heritage using terahertz technology. C. R. Phys. 11(7–8), 519–526 (2010)
Filippidis, G., et al.: Nonlinear imaging and THz diagnostic tools in the service of cultural heritage. Springer Appl. Phys. A 106(2), 257–263 (2012)
Zielińska, A., et al.: X-ray fluorescence imaging system for fast mapping of pigment distributions in cultural heritage paintings. IOP J. Instrum. 8(10), P10011 (2013)
Vahur, S., Teearu, A., Leito, I.: ATR-FT-IR spectroscopy in the region of 550–230 cm- 1 for identification of inorganic pigments. Spectrochim. Acta Part A Mol. Biomol. Spectrosc. 75(3), 1061–1072 (2010)
Cosentino, A.: Identification of pigments by multispectral imaging; a flowchart method. Springer Heritage Sci. 2(1), 8 (2014)
Polak, A., et al.: Hyperspectral imaging combined with data classification techniques as an aid for artwork authentication. J. Cultural Heritage 26, 1–11 (2017)
Griffiths, P.R., De Haseth, J.A.: Fourier Transform Infrared Spectrometry, vol. 171. Wiley, Hoboken (2007)
Hariharan, P.: Basics of Interferometry. Academic Press, San Diego (2010)
Battle, G.C., Connolly, T., Keesee, A.M.: Laser Window and Mirror Materials. Springer, Boston (2012)
Goebel, D.G.: Generalized integrating-sphere theory. Opt. Soc. Am. Appl. Opt. 6(1), 125–128 (1967)
Burns, D.A., Ciurczak, E.W.: Handbook of Near-Infrared Analysis. CRC Press, Boca Raton (2007)
Acknowledgement
This work is part of Scan4Reco project that has received funding from the European Union Horizon 2020 Framework Programme for Research and Innovation under grant agreement no 665091.
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2019 Springer Nature Switzerland AG
About this paper
Cite this paper
Amanatiadis, S., Apostolidis, G., Karagiannis, G. (2019). Infrared Hyperspectral Spectroscopic Mapping Imaging from 800 to 5000 nm. A Step Forward in the Field of Infrared “Imaging”. In: Moropoulou, A., Korres, M., Georgopoulos, A., Spyrakos, C., Mouzakis, C. (eds) Transdisciplinary Multispectral Modeling and Cooperation for the Preservation of Cultural Heritage. TMM_CH 2018. Communications in Computer and Information Science, vol 962. Springer, Cham. https://doi.org/10.1007/978-3-030-12960-6_32
Download citation
DOI: https://doi.org/10.1007/978-3-030-12960-6_32
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-030-12959-0
Online ISBN: 978-3-030-12960-6
eBook Packages: Computer ScienceComputer Science (R0)