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Paper Conservation: Decisions & Compromises

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Fig. 2<br />

have been developed offering the user greater<br />

choice in technical specification.<br />

Data in this study was collected using a Mu-<br />

SIS system by Forth Photonics. Pages can be<br />

imaged rapidly facilitating real-time examination<br />

and a tunable monochromator means that<br />

the optimum wavelength for examination can<br />

be easily selected. MuSIS contains a sensitive<br />

photodetector reducing the amount of illumination<br />

required to fall on the object during image<br />

capture. Multispectral imaging with a MuSIS<br />

system can take photographs at 32 different<br />

wavelengths, ranging from the ultra-violet to the<br />

near-infrared at 20 nm intervals (420 nm – 1,000<br />

nm) as shown in Fig. 1.<br />

Software: Multispectral imaging extracts information<br />

from a sequence of digital images. There<br />

are several interactive visualisation tools available<br />

for handling multispectral imaging. Historically<br />

most software that processes multispectral<br />

data is specific to astronomical or remote sensing<br />

applications. Software ranges from commercial<br />

(ENVI from ITT Visual Information Solutions),<br />

to freeware (MultiSpec (Biehl, Landgrebe 2002)).<br />

These tools were designed to help solve practical<br />

problems faced by conservators in libraries,<br />

museums, and archives for character segmentation,<br />

monitoring of degradation, evaluation of<br />

cleaning methods, enhancing manuscript text,<br />

visualisation of palimpsests and for pigment<br />

identification.<br />

Images collected with the MuSIS system were<br />

analysed using HSI Labs (Joo Kim, Zhuo, Deng,<br />

Fu, and Brown 2010). HSI Labs is an imaging software<br />

program designed in collaboration with the<br />

Nationaal Archief of the Netherlands (NAN) and<br />

Art Innovation, a manufacturer of hyperspectral<br />

imaging hardware. The software is specifically<br />

designed for use on vulnerable historical documents<br />

where visualisation and analysis methods<br />

are required to determine the state of the collection<br />

item. Features available with HSI manipulation<br />

include interactive spectral selection,<br />

spectral similarity analysis, time-varying data<br />

analysis and visualisation and selective band fusion<br />

(Seon Joo Kim et al., 2010).<br />

Results<br />

Pigment Identification and Monitoring: Each<br />

of the 32 spectral images produced by the MuSIS<br />

system is displayed as a monochromatic image<br />

representing the percentage of spectral reflectance<br />

at each pixel for this band. The change<br />

in the value of the pixel’s spectral reflectance<br />

across the 32 bands can be plotted, and this corresponding<br />

plot is characteristic of the material<br />

analysed. This information allows the user to differentiate<br />

between various pigments which may<br />

be unknown and compared to those which are<br />

known.<br />

Fig. 2 displays three panels showing different<br />

representations of the Renaissance illuminated<br />

manuscript Add. Ms. 45722: Leaf from Sforza<br />

Hours. To the left is the original colour image.<br />

Using HSI Labs spectral data is used to generate<br />

ICOM-CC Graphic Documents Working Group Interim Meeting | Vienna 17 – 19 April 2013<br />

132

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