Abstract
In this study, the influence of lighting conditions on the reconstruction of spectral reflectance and image stitching was explored. Pigment estimation using the reconstructed spectral reflectance was also discussed. Spectral reflectance was estimated using pseudoinverse model from multispectral images of a traditional Japanese painting. It was observed that the accuracy of the estimation is greatly influenced by lighting conditions. High specular reflection on the target yielded large amount of estimation errors. On the other hand, it was observed that in addition to specular reflection, the distribution of light highly affects image stitching. Image stitching is important especially when acquiring images of large objects. Finally, pigments used on the painting were estimated using spectral curve matching of the reconstructed spectral reflectance compared to a pigment database. It was shown that multispectral images could be used for the analytical imaging of artworks.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
References
Elaksher, A.: Fusion of hyperspectral images and lidar-based dems for coastal mapping. Optics and Lasers in Engineering 46(7), 493–498 (2008)
Lane, G.R., Martin, C., Pirard, E.: Techniques and applications for predictive metallurgy and ore characterization using optical image analysis. Minerals Engineering 21(7), 568–577 (2008)
Biehl, L., Landgrebe, D.: MultiSpec—a tool for multispectral–hyperspectral image data analysis. Computers & Geosciences 28(10), 1153–1159 (2002)
Lee, H.-C.: Introduction to color imaging science. Cambridge University Press, Cambridge (2005)
MacAdam, D.: Selected Papers on Colorimetry- Fundamentals. Milestone Series, vol. 77. SPIE Optical Engineering Press, Bellingham (1993)
Conde, J., Haneisihi, H., Yamaguchi, M., Ohyama, N., Baez, J.: Spectral reflectance estimation of ancient Mexican codices, multispectral images approach. Revisita Mexhicana De Fisica 50(5), 484–489 (2004)
Balas, C., Papadakis, V., Papadakis, N., Papadakis, A., Vazgiouraki, E., Themelis, G.: A novel hyper-spectral imaging apparatus for the non-destructive analsyis of objects of artistic and historic values. Journal of Cultural Heritage 4, 330–337 (2003)
Marengo, E., Liparota, M.C., Robotti, E., Bobba, M.: Multivariate calibration applied to the field of cultural heritage: analysis of pigments on the surface of a painting. Analytica Chimica Acta 553, 111–122 (2005)
Shimano, N., Terai, K., Hironaga, M.: Recovery of spectral reflectance of objects being imaged by multispectral cameras. Journal of Optical Society of America A 24(10), 3211–3219 (2007)
Sakatoku, Y., Toque, J.A., Ide-Ektessabi, A.: Reconstruction of hyperspetral image from multispectral image based on regression analysis: optimum regression model and channel selection. In: Proceedings on the International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications. Lisbon, Portugal (2009)
Anderson, J.A.: The diffuse reflectance of paints in the near-infrared. Journal of the Optical Society of America 37(10), 771–777 (1947)
Vargas, W., Amador, A., Niklasson, G.: Diffuse reflectance of TiO2 pigmented paints: spectral dependence of the average pathlength parameter and forward scattering ratio. Optics Communication 261, 71–78 (2006)
Pajdla, T., Matas, J. (eds.): ECCV 2004. LNCS, vol. 3024, pp. 377–389. Springer, Heidelberg (2004)
Solina, F., Leonardis, A. (eds.): CAIP 1999. LNCS, vol. 1689, pp. 615–622. Springer, Heidelberg (1999)
Brown, M., Lowe, D.: Automatic panoramic image stitching using invariant features. International Journal of Computer Vision 74(1), 59–73 (2007)
Zomet, A., Levin, A., Peleg, Shmuel, Weiss, Y.: IEEE Transactions on Image Processing 15(4), 969–977 (2006)
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2010 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Toque, J.A., Komori, M., Murayama, Y., Ide-Ektessabi, A. (2010). Analytical Imaging of Traditional Japanese Paintings Using Multispectral Images. In: Ranchordas, A., Pereira, J.M., Araújo, H.J., Tavares, J.M.R.S. (eds) Computer Vision, Imaging and Computer Graphics. Theory and Applications. VISIGRAPP 2009. Communications in Computer and Information Science, vol 68. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-11840-1_9
Download citation
DOI: https://doi.org/10.1007/978-3-642-11840-1_9
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-11839-5
Online ISBN: 978-3-642-11840-1
eBook Packages: Computer ScienceComputer Science (R0)