Traditional visual quality metrics measure fidelity instead of quality, even though fidelity, i.e. the accuracy of the reproduction of the original on the display, is just one of the many factors determining the overall perceived quality. In this paper, the addition of image appeal attributes is investigated in order to bridge this gap. Sharpness and colorfulness are identified among these attributes and are quantified by means of an isotropic local contrast measure and the distribution of chroma, respectively. The benefits of using these attributes are demonstrated with the help of data from subjective experiments.