Variability in the encoding of unique hues within the color vision system results in significant diversity in hue appearances among individuals. This paper introduces a novel algorithm that equalizes hue appearance for individual observers by incorporating their unique hue perception and replacing the default NCS unique hue in a modern color appearance model with individualized selections. By customizing the color representation to match the observer's perception, the algorithm enhances the consistency and personalized rendering of hue appearance. The findings of this study contribute to advancing color perception research and have practical implications in various domains such as, graphic design, and visual color reproduction.