When an image is reproduced with a device different artifacts can occur. These artifacts, if detectable by observers, will reduce the quality of the image. If these artifacts occur in salient regions (regions of interest) or if the artifacts introduce salient regions they contribute to reduce the quality of the reproduction. In this paper we propose a novel method for the detection of artifacts based on saliency models. The method is evaluated against a set of gamut mapped images containing the most common artifacts, which have been marked by a group of color experts. The results have shown that the proposed metrics are promising to detect the artifacts through the reproduction.