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Formation of Hyperspectral Near-Infrared Images from Artworks

Published online by Cambridge University Press:  24 August 2012

Juan Torres ,
Carmen Vega ,
Tomás Antelo ,
José Manuel Menéndez ,
Marian del Egido ,
Miriam Bueso  and
Alberto Posse
Juan Torres
Affiliation:
Grupo de Aplicación de Telecomunicaciones Visuales, Universidad Politécnica de Madrid. Av. Complutense, nº 30, E28040 Madrid, Spain. e-mail: [email protected]
Carmen Vega
Affiliation:
Grupo de Aplicación de Telecomunicaciones Visuales, Universidad Politécnica de Madrid. Av. Complutense, nº 30, E28040 Madrid, Spain. e-mail: [email protected]
Tomás Antelo
Affiliation:
Instituto del Patrimonio Cultural de España, Ministerio de Cultura, C/ Pintor El Greco, 4, E28040 Madrid, Spain.
José Manuel Menéndez
Affiliation:
Grupo de Aplicación de Telecomunicaciones Visuales, Universidad Politécnica de Madrid. Av. Complutense, nº 30, E28040 Madrid, Spain. e-mail: [email protected]
Marian del Egido
Affiliation:
Instituto del Patrimonio Cultural de España, Ministerio de Cultura, C/ Pintor El Greco, 4, E28040 Madrid, Spain.
Miriam Bueso
Affiliation:
Instituto del Patrimonio Cultural de España, Ministerio de Cultura, C/ Pintor El Greco, 4, E28040 Madrid, Spain.
Alberto Posse
Affiliation:
Grupo de Aplicación de Telecomunicaciones Visuales, Universidad Politécnica de Madrid. Av. Complutense, nº 30, E28040 Madrid, Spain. e-mail: [email protected]
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Abstract

In this paper, a novel hyperspectral image acquisition system able to obtain a set of narrowband images (~2,25 nm of bandwidth) and the related composition of monochrome images in the near-infrared is described. The aim of this system is to discriminate the materials by their optical spectral response in the range of 900-1700 nm. This system has been developed in the framework of a collaborative project that includes the improvement of the automatic composition of reflectographic mosaics in order to study the underdrawing of large formats big artworks in real-time. The main features of this project are detailed in this paper. Furthermore, a few enlightening results of the hyperspectral system and new lines of research are shown.

Keywords

infraredimagingpaintings
Type
Articles
Information
MRS Online Proceedings Library (OPL) , Volume 1374: Symposium S8 – Cultural Heritage and Archaeological Issues in Materials Science , 2012 , pp. 3 - 15
Copyright
Copyright © Materials Research Society 2012

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References

REFERENCES

Antelo, T., Del Egido, M., Gabaldón, A., Vega, C. and Torres, J.. El proyecto VARIM: Visión Artificial aplicada a la Reflectografía de Infrarrojos Mecanizada in Innovación tecnológica en conservación y restauración del Patrimonio. Tecnología y Conservación del Patrimonio Arqueológico I, Universidad Autónoma de Madrid, Madrid, 2006, 87-99.Google Scholar
Torres, J.; Posse, A., Menéndez, J.M., Gabaldón, A., Vega, C., Antelo, T., Del Egido, M. and Bueso, M., e_conservation 4 (2008) 27–42.Google Scholar
Antelo, T., Gabaldón, A. and Vega, C., Bienes Culturales. Ciencias aplicadas al Patrimonio 8, Ministerio de Cultura, Madrid, 2008, 61-73.Google Scholar
Torres, J.; Posse, A. and Menéndez, J.M., Bienes Culturales. Ciencias aplicadas al Patrimonio 8, Ministerio de Cultura, Madrid, 2008, 89-97.Google Scholar
Baronti, S., Casini, A., Lotti, F., Porcinai, S., Applied Optics 37, 8, (1998) 1299.Google Scholar
Fischer, C., Kakoulli, I., Reviews in Conservation, 7 (2006) 3–16.Google Scholar
Bacci, M., Archeometriai Mühely, 2006/1, 46–50.Google Scholar
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, Creagh, and Bradley, eds., Elsevier. Amsterdam, 2007, 199.Google Scholar
Pelagotti, A., Del Mastio, A., De Rosa, A., Piva, A., Signal Processing Magazine IEEE 25 (2008) 27–36.Google Scholar
Ribés, A., Pillay, R., Schmitt, F. and Lahanier, C., Signal Processing Magazine IEEE 25 (2008) 14–26.Google Scholar
Giró, S., Sistemas Digitales de Adquisición de Imágenes Visibles, Infrarrojos e Hiperespectrales, in La Ciencia y el Arte II. del Egido, M.A. & Juanes, D. (eds,), Secretaría General Técnica. Ministerio de Cultura, Madrid, 2010, 205.Google Scholar
VARIM Project: http://www.gatv.ssr.upm.es/wikivarim Google Scholar
Posse, A., Torres, J., Menéndez, J.M., Matching points in poor edge information images, 16th IEEE International Conference on Image Processing, El Cairo, Egypt, 2009, 197–200.Google Scholar
Martinez, K., Cupitt, J., VIPS – a highly tuned image processing software architecture, IEEE International Conference on Image Processing, Genoa, Italy, vol. 2, 2005, 574–577.Google Scholar
Torres, J., Menéndez, J.M., An adaptive real-time method for controlling the luminosity in digital video acquisition, AESTED International Conference on Visualization, Imaging and Image Processing, 2005, Benidorm, 133–137.Google Scholar
Torres, J., Menéndez, J.M., A practical algorithm to correct geometrical distortion of image acquisition cameras, IEEE International Conference on Image Processing, vol.III, Singapur, 2004, 2451–2454.Google Scholar