Uniformity is an important quality factor of a hard-copy image and needs to be properly managed using a numerical index. We therefore developed a new method of evaluating quality. The evaluation method involves calculating the delta E profile using the color difference of the neighborhood to remove the effect of image noise. This calculation algorithm is based on a persons contrast detection mechanism. Furthermore, the maximum color difference is extracted by comparing profiles because a person evaluates the part having the worst uniformity part in multiple regions. Our method provides a numerical index that represents a subjective score of image uniformity. We expect to manage image quality using our method.