16 February 2010 Pigment identification based on spectral reflectance reconstructed from RGB images for cultural heritage investigations
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Abstract
Common analysis techniques for artworks, such as X-ray based techniques, usually employ high-energy radiation sources. It also oftentimes requires the removal of material from the sample making the analysis relatively destructive. This is unacceptable for samples with high cultural value. Therefore, there is a need to develop alternative nondestructive and noninvasive analysis methods. This paper presents an approach for pigment estimation of Japanese paintings. Reflectance spectra were reconstructed from the RGB values of digital images with the help of multiple linear regression analysis. A reference database with the measured reflectance spectra of the most common pigments used in Japanese artworks was developed and used for identification by comparison and matching. Results have shown that estimation can be successfully performed with only 2% error. The estimation results show some promise that the system could become a powerful tool for the analysis of cultural heritage.
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Jay Arre Toque, Yusuke Murayama, Ari Ide-Ektessabi, "Pigment identification based on spectral reflectance reconstructed from RGB images for cultural heritage investigations", Proc. SPIE 7531, Computer Vision and Image Analysis of Art, 75310K (16 February 2010); doi: 10.1117/12.840001; https://doi.org/10.1117/12.840001
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