Separating Illumination and Surface Spectral from Multiple Color Signals
A number of methods have been proposed to separate a color signal into its components: illumination spectral power distribution and surface spectral reflectance. Most of these methods usually use a minimization technique from a single color signal. However, we found that this technique is not effective for real data, because of insufficiency of the constraints. To resolve this problem, we propose a minimization technique that, unlike the existing methods, uses multiple color signals. We present three methods for recovering surface and illumination spectrums which differ in obtaining color signals: first, from two different surface reflectances lit by a single illumination spectral power distribution; second, from identical surface reflectances lit by different illumination spectral power distributions; and third, from a single surface reflectance with two types of reflection components, diffuse and specular, lit by a single illumination spectral power distribution. Practically we applied our method to deal with the color signals of a scene taken by the interference filter, and we separated its illumination spectral power distribution and surface spectral reflectance.
KeywordsSimulated Annealing Algorithm Optical Society Color Signal Color Constancy Separation Algorithm
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