Wavelength selection for synthetic image generation
Gary W. Meyer · Computer Vision Graphics and Image Processing · 1988
The efficient synthesis of color in computer graphics is dependent on modelling the correct number and spacing of wavelengths across the visible spectrum. It has recently been shown that the opponent representation of the fundamental spectral sensitivity functions is optimal from the point of view of statistical communication theory. This result is used in this paper to guide the selection of wavelengths for synthetic image generation. Gaussian quadrature with the opponent fundamentals as weighting functions is used to choose the wavelengths. This approach is shown to be superior to using Gaussian quadrature with the fundamental spectral sensitivity functions or the CIE XYZ matching functions. The technique is evaluated by using color difference calculations and by comparisons between a real scene and a computer generated picture of that scene.