Spectral reflectance is a key material property and contributor to object appearance. While it has long been known that reflectance in a given wavelength interval correlates strongly with reflectances in neighboring ones, this correlative property has only been exploited implicitly before. The present paper therefore presents a new approach to spectral analysis and synthesis that consists of first deriving a spectral correlation profile and then using it for a direct and full sampling of the spectral and color gamuts corresponding to it. The resulting technique can be used to generate natural-like spectra (or spectra following other, specific correlation properties) and it can also be incorporated into Bayesian models of spectral estimation.
Peter Morovič, Ján Morovič, Juan Manuel García–Reyero, "Spectra From Correlation" in Proc. IS&T 21st Color and Imaging Conf., 2013, pp 20 - 26, https://doi.org/10.2352/CIC.2013.21.1.art00005