Advertisement

Multi-spectral Imaging System (IWN) for the Digitization and Investigation of Cultural Heritage

  • Ibrahim El-Rifai
  • Hend Mahgoub
  • Ari Ide-Ektessabi
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 10058)

Abstract

This research focuses on the digitization and investigation of cultural heritage liaised with the practical requirements of conservators and museum curators. Different types of information are extracted about the physical characteristics of the artifacts, pigments preliminary identification and pigments distribution in addition to the colorimetric information. In this regard, a multi-spectral digitization system – named as “iwn” was developed to collect the required information from the cultural heritage objects. The system is portable, customizable, easy to use, in-situ, non-invasive and relatively not expensive. This paper will describe the specifications of the system showing its functions and capabilities through few case studies.

Keywords

Digitization Multi-spectral imaging Pigment identification and distribution Spectral reflectance reconstruction 

Notes

Acknowledgement

This research is partially funded and supported by Prof. Ide-Ektessabi Laboratory, Advanced Imaging Technology, Graduate School of Engineering, Kyoto University as part of a PhD research.

References

  1. 1.
    Martinez, K., Cupitt, J., Saunders, D., Pillay, R.: Ten years of art imaging research. Proc. IEEE 90, 28–41 (2002)CrossRefGoogle Scholar
  2. 2.
    Ribés, A., Schmitt, F., Pillay, R., Lahanier, C.: Calibration and spectral reconstruction for cristatel: an art painting multispectral acquisition system. J. Imaging Sci. Technol. 49, 563–573 (2005)Google Scholar
  3. 3.
    Christens-Barry, W.A., Boydston, K., France, F.G., Knox, K.T., Easton Jr., R.L., Toth, M.B.: Camera system for multispectral imaging of documents. In: Proceedings of SPIE 7249, Sensors, Cameras, and Systems for Industrial/Scientific Applications X, 724908, 27 January 2009. doi: 10.1117/12.815374
  4. 4.
    Easton Jr., R.L., Knox, K.T., Christens-Barry, W.A.: Multispectral imaging of the Archimedes palimpsest. In: Applied Imagery Pattern Recognition Workshop Proceedings, pp. 15–17 (2003)Google Scholar
  5. 5.
    Costas, B., et al.: A novel hyper-spectral imaging apparatus for the non-destructive analysis of objects of artistic and historic value. J. Cult. Heritage 4, 330s–337s (2003)CrossRefGoogle Scholar
  6. 6.
    Novati, G., Pellegri, P., Schettini, R.: An affordable multispectral imaging system for the digital museum. Int. J. Digit. Libr. 5, 167–178 (2005)CrossRefGoogle Scholar
  7. 7.
    Pelagotti, A., Del Mastio, A., De Rosa, A., Piva, A.: Multispectral imaging of paintings. IEEE Sign. Process. Mag. 25, 27–36 (2008)CrossRefGoogle Scholar
  8. 8.
    Berns, R.S., Taplin, L.A., Urban, P., Zhao, Y.: Spectral color reproduction of paintings. In: Proceedings of the Fourth European Conference on Color in Graphics, Imaging and Vision, Barcelona, Spain, pp. 484–488 (2013)Google Scholar
  9. 9.
    Bearman, G.H., Spiro, S.I.: Archaeological applications of advanced imaging techniques. Biblical Archaeologist 59(1), 56–66 (1996)CrossRefGoogle Scholar
  10. 10.
    El-Rifai, I., Mahgoub, H., Magdy, M., Toque, J.A., Ide-Ektessabi, A.: Enhanced spectral reflectance reconstruction using pseudo-inverse estimation method. Int. J. Image Process. (IJIP) 7(3), 278–285 (2013)Google Scholar
  11. 11.
    Ohno, Y.: CIE fundamentals for color measurements. In: International Conference on Digital Printing Technology, NIP 2016, Vancouver, Canada, pp. 540–545 (2016)Google Scholar
  12. 12.
    Faulkner, R.O.: A Concise Dictionary of Middle Egyptian Oxford, p. 13. Oxford University Press, London (1991)Google Scholar
  13. 13.
    Gardiner, A.: Egyptian Grammar: Being an Introduction to the Study of Hieroglyphs, 3rd edn, p. 552. Oxford University Press, London (1966)Google Scholar
  14. 14.
    Barata, J., Hussein, M.: The moore-penrose pseudoinverse: a tutorial review of the theory. Braz. J. Phys. 42(1–2), 146–165 (2012)CrossRefGoogle Scholar
  15. 15.
    ASTM International: Standard Practice for Computing the Colors of Objects by Using the CIE System, ASTM Standard E308-08, West Conshohocken, United States (2008). www.astm.org
  16. 16.
    Luo, M.R., Cui, G., Rigg, B.: The development of the CIE 2000 colour-difference formula: CIEDE2000. Color Res. Appl. 26(5), 340–350 (2001). (Special Issue on Color Difference)CrossRefGoogle Scholar
  17. 17.
    El-Rifai, I., Ezzat, H., Mahgoub, H., Bebars, Y., Ide-Ektessabi, A.: Artwork digitization and investigation a case study of the loom weaver, oil painting by Hosni El-Bannani. Int. Sci. J. Mediterr. Archaeol. Archaeometry 13(2), 21–29 (2013). Greece Google Scholar
  18. 18.
    René de la Rie, E.: Fluorescence of paint and varnish layers (part I). Stud. Conserv. 27(1), 1–7 (1982). doi: 10.2307/1505977 CrossRefGoogle Scholar
  19. 19.
    René de la Rie, E.: Fluorescence of paint and varnish layers (part III). Stud. Conserv. 27(3), 102–108 (1982)Google Scholar
  20. 20.
    Walmsley, E., Metzger, C., Delaney, J.K., Fletcher, C.: Improved visualization of under drawings with solid-state detectors operating in the infrared. Stud. Conserv. 39, 217–231 (1994)Google Scholar
  21. 21.
    Aldrovandi, A., Buzzegoli, E., Keller, A., Kunzelman, D.: Investigation of painted surfaces with a reflected UV false color technique. In: 8th International Conference on Non Destructive Investigations and Micronalysis for the Diagnostics and Conservation of the Cultural and Environmental Heritage, Lecce, art 2005, Italy (2005)Google Scholar
  22. 22.
    Pelagotti, A., Del Mastio, A., De Rosa, A., Piva, A.: Multispectral imaging of paintings. IEEE Sign. Process. Mag. 25, 27–36 (2008)CrossRefGoogle Scholar
  23. 23.
    Livingstone, D.: Encyclopaedia Britannica Online (2016). www.britannica.com/biography/David-Livingstone. Accessed June 2016
  24. 24.
    Pound, D.J.: The Drawing-Room of Eminent Personages, vol. 2. Mayall, London (1857). John Jabez Edwin Paisley. npg.org.uk/collections/search/portrait/mw40836/David-Livingstone?
  25. 25.
    Toque, J.A., Sakatoku, Y., Ide-Ektessabi, A.: Pigment identification by analytical imaging using multispectral images. In: 2009 16th IEEE International Conference on Image Processing (ICIP), Cairo, pp. 2861–2864 (2009)Google Scholar
  26. 26.
    Delaney, J.K., Walmsley, E., Berrie, B.H., Fletcher, C.F.: Multispectral Imaging of Paintings in the Infrared to Detect and Map Blue Pigments. National Academy of Sciences. (Sackler NAS Colloquium) Scientific Examination of Art: Modern Techniques in Conservation and Analysis. The National Academies Press, Washington, DC (2005). doi: 10.17226/11413
  27. 27.
    Delaney, J.K., Walmsey, E., Berrie, B.H., Fletcher, C.F.: Multispectral imaging of paintings in the infared to detect and map blue pigments. In: Proceedings of the National Academy of Sciences, pp. 120–136 (2003)Google Scholar
  28. 28.
    Smith, G.D., et al.: Inexpensive, near-infrared imaging of artwork using a night-vision webcam for chemistry-of-art courses. J. Chem. Educ. 86(12), December 2009. Verri, “The spatially resolved characterization of Egyptian blue.”Google Scholar
  29. 29.
    Verri, G.: The spatially resolved characterization of Egyptian blue, Han blue and Han purple by photo-induced luminescence digital imaging. Anal. Bioanal. Chem. 394(4), 1011–1021 (2009). doi: 10.1007/s00216-009-2693-0 CrossRefGoogle Scholar
  30. 30.
    Accorsi, G., Verri, G., Bolognesi, M., Armaroli, N., Clementi, C., Miliani, C., Romani, A.: The exceptional near-infrared luminescence properties of cuprorivaite (Egyptian blue). Chem. Commun. 23, 3392–3394 (2009). doi: 10.1039/B902563D CrossRefGoogle Scholar
  31. 31.
    Cosentino, A.: Identification of pigments by multispectral imaging a flowchart method. Heritage Sci. 2(8) (2014). doi: 10.1186/2050-7445-2-8
  32. 32.
    L. Cornelissen & Son, London: www.cornelissen.com
  33. 33.
    Sackler Colloquia: Scientific Examination of Art: Modern Techniques in Conservation and Analysis, Arthur M. Sackler Colloquia of the National Academy of Sciences, National Academies Press, Washington, D.C. (2003)Google Scholar

Copyright information

© Springer International Publishing AG 2016

Authors and Affiliations

  • Ibrahim El-Rifai
    • 1
  • Hend Mahgoub
    • 2
  • Ari Ide-Ektessabi
    • 1
  1. 1.Advanced Imaging Technology Lab, Graduate School of EngineeringKyoto UniversityKyotoJapan
  2. 2.Institute for Sustainable HeritageUniversity College LondonLondonUK

Personalised recommendations