Hyper-Spectral Imaging (HSI) has emerged in the last decade as one of the most promising technologies for diagnostics and documentation of polychrome surfaces. Despite the fact that presently HSI is a well-established technique for non-invasive investigations on paintings, a number of technological issues remain open and are still topics for on-going studies. In particular, it is known that high spatial resolution is a crucial parameter for obtaining high quality images, whereas the possibility to identify pictorial materials strictly depends on the spectral resolution and on the extent of the spectral region investigated. At the same time, by increasing the sampling rates in both the spatial and spectral dimensions, the size of the data-set will be enlarged and the acquisition times will be lengthened. As a consequence, a good compromise between the acquisition of highquality data and their application should always be reached, taking into account the specific purposes of the HSI application. The above questions are discussed in the present work, which illustrates two applications of the latest version of a hyperspectral scanner designed at IFAC-CNR for the digitization of artworks. The prototype has recently been upgraded, with new visualization software as well as mechanical and optical improvements. This high performance system operates in the 400-1000nm spectral range, with a spectral resolution of about 2-3 nm and a spatial sampling of 0.1 mm over areas of about 1 m2. Three case-studies are presented, which highlight the importance of both high spatial and high spectral sampling rate in hyperspectral imaging. Two of the examples reported focus on the full exploitation of the spatial resolution: the first one is a study performed on a small painting, dated from the eighteenth century and belonging to the Uffizi Gallery in Florence; the second case-study refers to the valuable "Carrand diptych" (14th century) from the Bargello Museum in Florence. The last application, instead, shows the crucial importance of a high spectral resolution to identify selected pigments in the oil-painting "Ritratto di Maffeo Barberini", dated around 1596-1600, which has recently been attributed to Caravaggio.
[1]
Dario Ambrosini,et al.
Integrated reflectography and thermography for wooden paintings diagnostics
,
2010
.
[2]
D. Bertani,et al.
A prototype for high resolution infrared reflectography of paintings
,
2007
.
[3]
Ermanno G. Grinzato,et al.
Nondestructive evaluation of delaminations in fresco plaster using transient infrared thermography
,
1994
.
[4]
Ioanna Kakoulli,et al.
Multispectral and hyperspectral imaging technologies in conservation: current research and potential applications
,
2006
.
[5]
Mathieu Thoury,et al.
Visible and infrared reflectance imaging spectroscopy of paintings: pigment mapping and improved infrared reflectography
,
2009,
Optical Metrology.
[6]
A. Piva,et al.
Multispectral of Paintings
,
2008
.
[7]
Mauro Bacci,et al.
Fiber optic reflectance spectroscopy and hyper-spectral image spectroscopy: two integrated techniques for the study of the Madonna dei Fusi
,
2005,
SPIE Optical Metrology.
[8]
A. Casini,et al.
Multispectral Imaging System for the Mapping of Pigments in Works of Art by use of Principal-Component Analysis.
,
1998,
Applied optics.
[9]
Stefano Paoloni,et al.
Active infrared thermography applied to the investigation of art and historic artefacts
,
2011
.
[10]
N. Keshava,et al.
Distance metrics and band selection in hyperspectral processing with applications to material identification and spectral libraries
,
2004,
IEEE Transactions on Geoscience and Remote Sensing.
[11]
Franco Lotti,et al.
Image spectroscopy mapping technique for noninvasive analysis of paintings
,
1999
.
[12]
M. Bacci,et al.
UV-VIS-NIR REFLECTANCE SPECTROSCOPY OF RED LAKES IN PAINTINGS
,
2008
.
[13]
David Saunders,et al.
Ten years of art imaging research
,
2002,
Proc. IEEE.
[14]
Pascal Cotte,et al.
Crisatel High Resolution Multispectral System
,
2003,
PICS.
[15]
S. Cecchi,et al.
A scanning device for infrared reflectography
,
1990
.