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Proceedings Paper

Multispectral imaging for digital painting analysis: a Gauguin case study
Author(s): Bruno Cornelis; Ann Dooms; Frederik Leen; Adrian Munteanu; Peter Schelkens
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Paper Abstract

This paper is an introduction into the analysis of multispectral recordings of paintings. First, we will give an overview of the advantages of multispectral image analysis over more traditional techniques: first of all, the bands residing in the visible domain provide an accurate measurement of the color information which can be used for analysis but also for conservational and archival purposes (i.e. preserving the art patrimonial by making a digital library). Secondly, inspection of the multispectral imagery by art experts and art conservators has shown that combining the information present in the spectral bands residing in- and outside the visible domain can lead to a richer analysis of paintings. In the remainder of the paper, practical applications of multispectral analysis are demonstrated, where we consider the acquisition of thirteen different, high resolution spectral bands. Nine of these reside in the visible domain, one in the near ultraviolet and three in the infrared. The paper will illustrate the promising future of multispectral analysis as a non-invasive tool for acquiring data which cannot be acquired by visual inspection alone and which is highly relevant to art preservation, authentication and restoration. The demonstrated applications include detection of restored areas and detection of aging cracks.

Paper Details

Date Published: 7 September 2010
PDF: 13 pages
Proc. SPIE 7798, Applications of Digital Image Processing XXXIII, 77980I (7 September 2010); doi: 10.1117/12.862975
Show Author Affiliations
Bruno Cornelis, Vrije Univ. Brussel (Belgium)
Ann Dooms, Vrije Univ. Brussel (Belgium)
Frederik Leen, Royal Museums of Fine-Arts (Belgium)
Adrian Munteanu, Vrije Univ. Brussel (Belgium)
Peter Schelkens, Vrije Univ. Brussel (Belgium)


Published in SPIE Proceedings Vol. 7798:
Applications of Digital Image Processing XXXIII
Andrew G. Tescher, Editor(s)

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