The objective of this research was to determine which published chromatic adaptation model performed best under a single set of conditions. Previous research has been conducted to study chromatic adaptation, develop models and to indirectly test those models. This research directly tested the performance of these models using printed, simple-field, object colors through a successive-ganzfe/cf haploscopic, paired comparison, matching experiment. The chromatic adaptation models tested were CIELAB, CIELUV, Fairchild \u2791, Hunt \u2791, LABHNU2, Nayatani et al. \u2790 and von Kries. The test illuminant was incandescent at 231 lux. Model predictions were calculated for the reference simulated daylight at 2,396 lux. The Hunt model was found to predict the best matches for each color sample, and across all ten color centers. The other models\u27 performances were significantly different, but not nearly as good. However, two versions of the Hunt model were tested, and neither performed consistently, although they both performed better than the other models. For a wide chromatic range of object colors, an alternative form of the Hunt model is suggested for implementing the prediction of corresponding colors
