Abstract
Human color vision is made up of several physiological components: lens, macular pigment, and three photopigments. These components together form a set of three spectral sensitivity curves called color matching functions (CMFs). There are differences in these physiological components among individuals, which end up in individual differences in CMFs. Creating a vision model to compute individual observer's CMFs is beneficial both for clinical purposes and personalizing color management [Sarkar and Blondé, 2013]. In 2006, the CIE proposed a physiology-based colorimetric observer function (CIEPO06) [CIE, 2006]. CIEPO06 is the function to model an average observer's CMFs for a given age and field size. Any individual can be different from what the average CIEPO06 predicts. The first vision model for individual observers was proposed by Fairchild and Heckaman [Fairchild and Heckaman, 2013]. It has four parameters corresponding to individual lens, macula, λmax shift in L-cone and M-cone. While its validity was shown, there is still some room for improvement [Asano et al., 2014]. In this study, we present a synthetic vision model for individual colorimetric observers through literature review, which would be considered as an improvement over the Fairchild and Heckaman model. We extend CIEPO06 and propose eight additional physiological parameters to model individual observers: lens density, peak optical density of macular pigment, peak optical density of L-, M-, and S-cones, and λmax shift of L-, M-, and S-cones. Extensive literature review is performed for each parameter and the standard deviations of the eight parameters is determined.