An affordable multispectral imaging system for the digital museum

Novati, Gianluca; Pellegri, Paolo; Schettini, Raimondo

doi:10.1007/s00799-004-0103-y

Cited by 26 publications

(33 citation statements)

References 19 publications

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“…Both the VASARI and the CRISATEL systems were developed within large projects, but it is possible to develop small-scale multispectral acquisition systems with reasonable means [6,14,21,28]. These four systems are image-based and they acquire much smaller areas than the previous two systems.…”

Section: Multispectral Imaging For Cultural Heritagementioning

confidence: 99%

Integration of 3D and multispectral data for cultural heritage applications: Survey and perspectives

Chane

Mansouri

Marzani

et al. 2013

Image and Vision Computing

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Cultural heritage is increasingly put through imaging systems such as multispectral cameras and 3D scanners. Though these acquisition systems are often used independently, they collect complementary information (spectral vs. spatial) used for the study, archiving and visualization of cultural heritage. Recording 3D and multispectral data in a single coordinate system enhances the potential insights in data analysis.We present the state of the art of such acquisition systems and their applications for the study of cultural heritage. We also describe existing registration techniques that can be used to obtain 3D models with multispectral texture and explore the idea of optically tracking acquisition systems to ensure an easy and precise registration.

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Section: Multispectral Imaging For Cultural Heritagementioning

confidence: 99%

Integration of 3D and multispectral data for cultural heritage applications: Survey and perspectives

Chane

Mansouri

Marzani

et al. 2013

Image and Vision Computing

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“…Multispectral imaging has been employed in cultural heritage for a couple of decades (Barni et al 2005). This technique allows color faithful reproduction (Novati et al 2005), pigment identification (Pelagotti et al 2008), non-invasive diagnosis of the conservation status (Mohen et al 2006), and reconstruction of the artwork history, e.g. detection of underdrawings and restoration interventions (Pelagotti et al 2007;Mohen et al 2006).…”

Section: Introductionmentioning

confidence: 98%

Lightness Recovery for Pictorial Surfaces

Paviotti

Forsyth

2011

Int J Comput Vis

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An important technique in cultural heritage preservation is multispectral acquisition, where one recovers a detailed spectral record of a painting using carefully calibrated lighting. This is difficult to do with frescoes, because it is hard to recover the spatial variation in light intensity that results from factors like the imaging setup and the curvature of the fresco. We introduce a new formulation of the lightness problem applied to images of pictorial artworks. The problem is different from the conventional lightness problem, because artists often paint the effects of light, so the albedo field contains a component that mimics an illumination field. Our method distinguishes between physical illumination and painted shading through spatial frequency effects and dynamic range considerations. We evaluate our method using multispectral images of paintings, where the physical illumination field is known. Our method produces estimates of the illumination intensity field that compare very well with the known ground truth, and outperforms other state-of-the art lightness recovery algorithms. For frescoes, ground truth is not available, but we show that our method produces consistent results, in the sense that the illumination functions estimated on the image and on (some of) its subimages are very similar on the overlap. We show our method produces qualitatively good color corrections for images of frescoes found on the web

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“…Multispectral imaging, however, is very expensive and, despite some researchers' attempts to create affordable systems (e.g., Novati, Pellegri, and Schettini 2005), the acquisition of multispectral images is generally limited to large institutions with considerable funding (Chane et al 2013). …”

Section: Two-dimensional Digitizationmentioning

confidence: 99%

“…More accurate representations of objects can be acquired using multispectral imaging, which uses a higher number of parameters (the international standard is 31, compared to RGB's 3) in order to obtain more information about the reflectance of an object at any particular point in space (Novati, Pellegri, and Schettini 2005). Multispectral imaging, however, is very expensive and, despite some researchers' attempts to create affordable systems (e.g., Novati, Pellegri, and Schettini 2005), the acquisition of multispectral images is generally limited to large institutions with considerable funding (Chane et al 2013).…”

Section: Two-dimensional Digitizationmentioning

confidence: 99%