Alexander Logvinenko introduced an object-color atlas based on idealized reflectances called rectangular metamers in 2009. For a given color signal, the atlas specifies a unique reflectance that is metameric to it under the given illuminant. The atlas is complete and illuminant invariant, but not possible to implement in practice. He later introduced a parametric representation of the object-color atlas based on smoother “wraparound Gaussian” functions. In this paper, these wraparound Gaussians are used in predicting illuminant-induced color signal changes. The method proposed in this paper is based on computationally “relighting” that reflectance to determine what its color signal would be under any other illuminant. Since that reflectance is in the metamer set the prediction is also physically realizable, which cannot be guaranteed for predictions obtained via von Kries scaling. Testing on Munsell spectra and a multispectral image shows that the proposed method outperforms the predictions of both those based on von Kries scaling and those based on the Bradford transform.
© 2014 Optical Society of America
Vision, Color, and Visual Optics
Original Manuscript: December 27, 2013
Revised Manuscript: May 29, 2014
Manuscript Accepted: May 30, 2014
Published: June 30, 2014
Hamidreza Mirzaei and Brian Funt, "Object-color-signal prediction using wraparound Gaussian metamers," J. Opt. Soc. Am. A 31, 1680-1687 (2014)