Abstract
Multispectral imaging was employed to collect data on the degradation of an 18th century parchment by a series of physical and chemical treatments. Each sample was photographed before and after treatment by a monochrome digital camera with 21 narrow-band filters, with the objective of assessing algorithms for recovery of text from the images. A template-matching technique was used to detect the circular holes in each sample and a four-point projective transform to register the 21 images. Colour accuracy was verified by comparison of reconstructed spectra with measurements by spectrophotometer.
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Terras, M., Robertson, P.: Image to Interpretation: An Intelligent System to Aid Historians in Reading the Vindolanda Texts, p. 252. Oxford University Press, Oxford (2006)
Chabries, D.M., Booras, S.W., Bearman, G.: Imaging the past: Recent applications of multispectral imaging technology to deciphering manuscripts. Antiquity 77(296), 359 (2003)
Salerno, E., Tonazzini, A., Bedini, L.: Digital image analysis to enhance underwritten text in the Archimedes palimpsest. Intl. J. Doc. Analysis and Recognition 9(2), 79–87 (2007)
Tanner, S., Bearman, G.: Digitizing the Dead Sea Scrolls. In: Proc. IS&T Archiving Conf., pp. 119–123 (2009)
Reed, R.: Ancient Skins, Parchments and Leathers. Seminar Press, London (1972)
Clarkson, C.: Rediscovering Parchment: the nature of the beast. The Paper Conservator 16(1), 5–26 (1992)
Larsen, R.: Introduction to damage and damage assessment of parchment. Improved damage assessment of parchment (IDAP): assessment, data collection and sharing of knowledge. European Commission, Directorate-General for Environment, 17–22 (2007)
Giacometti, A., Campagnolo, A., MacDonald, L., Mahony, S., Terras, M., Robson, S., Weyrich, T., Gibson, A.: Documenting Parchment Degradation via Multispectral Imaging. In: Proc. BCS Conf. on Electronic Imaging and the Visual Arts (EVA), London (2012)
Vane, G., Goetz, A.F.H.: Terrestrial imaging spectroscopy. Remote Sensing of Environment 24(1), 1–29 (1988)
Landgrebe, D., Chen, C.: Information Extraction Principles and Methods for Multispectral and Hyperspectral Image Data, pp. 3–38. World Scientific Pub., River Edge (1999)
Hardeberg, J.Y.: Acquisition and Reproduction of Color Images: Colorimetric & multispectral approaches, Dissertation.com (2001)
Saunders, D., Cupitt, J., Padfield, J.: Digital imaging for easel paintings. In: MacDonald, L.W. (ed.) Digital Heritage: Applying Digital Imaging to Cultural Heritage, ch. 19, pp. 521–548. Elsevier, Oxford (2006)
Attas, E.: Enhancement of Document Legibility Using Spectroscopic Imaging. Archivaria 57, 131–146 (2004)
Bianco, S., Colombo, A., Gasparini, F., Schettini, R., Zuffi, S.: Applications of Spectral Imaging and Reproduction to Cultural Heritage. In: Stanco, F., Battiato, S., Gallo, G. (eds.) Digital Imaging for Cultural Heritage Preservation: Analysis, Restoration, and Reconstruction of Ancient Artworks (Digital Imaging and Computer Vision). CRC Press, Boca Raton (2011)
Bearman, G.H., Spiro, S.I.: Archaeological Applications of Advanced Imaging Techniques. The Biblical Archaeologist 59(1), 56–66 (1996)
Baltsavias, E.: Multiphoto Geometrically Constrained Matching. D.Sc. Thesis, ETH Zurich, p. 73 (1991)
White, M.S., Griffin, P.: Piecewise Linear Rubber-Sheet Map Transformation. Cartography and Geographic Information Science 12(2), 123–131 (1985)
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MacDonald, L. et al. (2013). Multispectral Imaging of Degraded Parchment. In: Tominaga, S., Schettini, R., Trémeau, A. (eds) Computational Color Imaging. CCIW 2013. Lecture Notes in Computer Science, vol 7786. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-36700-7_12
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DOI: https://doi.org/10.1007/978-3-642-36700-7_12
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