Back to articles
Volume: 28 | Article ID: art00012
Image
Modeling and Estimation for Surface-Spectral Reflectance of Watercolor Paintings
  DOI :  10.2352/ISSN.2470-1173.2016.9.MMRMA-364  Published OnlineFebruary 2016
Abstract

A method is proposed to estimate spectral reflectances of watercolor paint samples with different water ratios. We first suppose that watercolor painting is monochrome made by a single paint and water. An algorithm is developed based on the Kubelka-Munk approach. The optical constants of scattering and absorption are estimated from the measured reflectances of a standard sample painted with a known water ratio. A linear relationship was devised to predict the optical constants of watercolor paintings with different water ratios. The surface-spectral reflectances are then recovered with the predicted optical constants. Moreover, we extend the method to watercolor paintings with mixed color paints. The feasibility of the method is examined in experiments using a variety of watercolor paintings.

Subject Areas :
Views 15
Downloads 1
 articleview.views 15
 articleview.downloads 1
  Cite this article 

Shoji Tominaga, Shingo Dozaki, Yukiko Kuma, Keita Hirai, Takahiko Horiuchi, "Modeling and Estimation for Surface-Spectral Reflectance of Watercolor Paintingsin Proc. IS&T Int’l. Symp. on Electronic Imaging: Measuring, Modeling, and Reproducing Material Appearance,  2016,  https://doi.org/10.2352/ISSN.2470-1173.2016.9.MMRMA-364

 Copy citation
  Copyright statement 
Copyright © Society for Imaging Science and Technology 2016
72010604
Electronic Imaging
2470-1173
Society for Imaging Science and Technology