Paper Conservation: Decisions & Compromises
Paper Conservation: Decisions & Compromises
Paper Conservation: Decisions & Compromises
You also want an ePaper? Increase the reach of your titles
YUMPU automatically turns print PDFs into web optimized ePapers that Google loves.
Fig. 4<br />
offers a non-invasive approach to study and disseminate<br />
historical documents without the risk<br />
of damaging the primary source.<br />
References<br />
Biehl, L. and Landgrebe, D., MultiSpec – A<br />
tool for multispectral-hyperspectral image<br />
data analysis, Computers and Geosciences,<br />
Volume 28, Issue 10, December<br />
2002, Pages 1152-1159.<br />
Forth Photonics Website, MuSIS HS,<br />
http://musis.forth-photonics.com/products.php.<br />
Goltz, D. and Hill, G., Hyperspectral Imaging<br />
of Daguerreotypes, Restaurator, International<br />
Journal for the Preservation<br />
of Library and Archival Material, Volume<br />
33, Issue 1, March 2012, Pages 1-16.<br />
ITT Visual Information Solutions: ENVI.<br />
http://www.ittvis.com/ProductServices/<br />
ENVI.aspx, Jun 2010.<br />
Joo Kim, S., Zhuo, S., Deng, F., Fu, C-W. and<br />
Brown, M.S., Interactive Visualisation of<br />
Hyperspectral Images of Historical Documents,<br />
IEEE Transactions on visualisation<br />
and computer graphics, Volume 16,<br />
Issue 6, December 2010, Pages 1441-1448.<br />
Saunders, D. and Cupitt, J., Image Processing<br />
at the National Gallery: The VASARI<br />
Project, National Gallery Technical Bulletin,<br />
Volume 14, 1993, Pages 72-85.<br />
Figure Captions<br />
Fig. 1: The spectral range of the MuSIS<br />
system extends from ultraviolet to near<br />
infrared including the visible part of the<br />
Electromagnetic Spectrum. From<br />
http://musis.forth-photonics.com/<br />
Fig. 2: HSI Labs multispectral image<br />
processing of the Renaissance illuminated<br />
manuscript Add. Ms. 45722, Leaf<br />
from Sforza Hours. Similarity maps are<br />
a measure between the mean spectrum<br />
of the marked area and the other points<br />
in the data are computed by using the<br />
entire spectral bands, visible bands and<br />
selected bands in the NIR. Left: Original<br />
RGB image showing a variety of pigments<br />
used across the illumination. The numbers<br />
represent spectral plots shown in<br />
Fig. 3. Centre: Grey colour similarity map<br />
of the Leaf from Sforza Hours, Right: Jet<br />
colour similarity plots of the Leaf from<br />
Sforza Hours. Multispectral data was<br />
captured with the MuSIS system.<br />
Fig. 3: Spectrum plot of the Renaissance<br />
illuminated manuscript Add. Ms. 45722,<br />
Leaf from Sforza Hours showing the use<br />
of multispectral images in pigment identification.<br />
1 = blue clothing, 2 = green<br />
clothing, 3 = yellow hat, 4 = grey collar, 5<br />
= baby skin, 6 = gold halo, 7 = brown roof,<br />
8 = red clothing.<br />
Fig. 4: Three bands of the 32 generated by<br />
the MuSIS multispectral instrument are<br />
shown. Left: At 420 nm the photograph<br />
appears dirty and the ink inscription<br />
along the top is faded. Centre: At 620<br />
nm the impurities on the surface have<br />
been reduced and the ink inscription is<br />
enhanced. Right: At 1,000 nm the impurities<br />
have are removed and the image is<br />
no longer obscured. The ink, however, is<br />
not visible at this band. A combination<br />
of the 620 nm and 1,000 nm band would<br />
provide the optimum fusion.<br />
Author<br />
Christina Duffy, The British Library, 96<br />
Euston Road, London, NW1 2DB, United<br />
Kingdom, christina.duffy@bl.uk.<br />
ICOM-CC Graphic Documents Working Group Interim Meeting | Vienna 17 – 19 April 2013<br />
134