Spectrophotometric color matching based on two‐constant kubelka‐munk theory

An algorithm is proposed to minimize the spectral difference between the reflectance of a standard and that of a match formed from a mixture of scattering colorants. This method applies linear least‐squares techniques and Kubelka‐Munk two‐constant theory to the calculation of colorant concentrations required to match the K/S curve of a standard. Several advantages may be gained over traditional tristimulus matching: the spectral reflectance of the standard and predicted formulation exhibit lower spectral difference, the use of spectrally similar colorants is enhanced, and formulations can be determined for standards measured over wavelength regions other than the visible spectrum.