Pigment Mapping of the Scream (1893) Based on Hyperspectral Imaging

Hyperspectral imaging is a promising non-invasive method for applications in conservation of painting. With its ability to capture both spatial and spectral information which relates to physical characteristics of materials, the identification of pigments and its spatial distribution across the painting is now possible. In this work, The Scream (1893) by Edvard Munch is acquired using a hyperspectral scanner and the pigment mapping of its constituent pigments are carried out. Two spectral image classification methods, i.e. Spectral Angle Mapper (SAM) and Spectral Correlation Mapper (SCM), and a fully constrained spectral unmixing algorithm combined with linear mixing model are employed for the pigment mapping of the painting.

[1]  Francis Schmitt,et al.  Calibration and spectral reconstruction for CRISATEL : An art painting multispectral acquisition system , 2005 .

[2]  H. Edwards,et al.  Raman spectroscopic study of a post-medieval wall painting in need of conservation , 2005, Analytical and bioanalytical chemistry.

[3]  Stefano Baronti,et al.  Segmentation of Multispectral Images of Works of Art through Principal Component Analysis , 1997, ICIAP.

[4]  Stefano Levialdi,et al.  Image Analysis and Processing , 1987 .

[5]  Franco Lotti,et al.  Imaging Spectroscopy for the Non-invasive Investigation of Paintings , 1999 .

[6]  Kirk Martinez.  High Resolution Digital Imaging of Paintings: The Vasari Project , 1991 .

[7]  Raimondo Schettini,et al.  An affordable multispectral imaging system for the digital museum , 2004, International Journal on Digital Libraries.

[8]  Roy S. Berns,et al.  An investigation of multispectral imaging for the mapping of pigments in paintings , 2008, Electronic Imaging.

[9]  B. Singer,et al.  Investigation of Materials Used by Edvard Munch , 2010 .

[10]  Yonghui Zhao.  Image segmentation and pigment mapping of cultural heritage based on spectral imaging , 2008 .

[11]  John R. Schott,et al.  Evaluation of Two Applications of Spectral Mixing Models to Image Fusion , 2000 .

[12]  Fred A. Kruse,et al.  The Spectral Image Processing System (SIPS) - Interactive visualization and analysis of imaging spectrometer data , 1993 .

[13]  M. Menu,et al.  Palaeolithic painting matter: natural or heat-treated pigment? , 2004 .

[14]  D. Fabbri,et al.  Identification of Indigo Dyes in Painting Layers by Pyrolysis Methylation and Silylation. A Case Study: “The Dinner of Emmaus” by G. Preti , 2005 .

[15]  Toshimitsu Asakura,et al.  International Trends in Optics and Photonics , 1999 .