With increase in size and resolution of mobile displays and advances in embedded processors for image enhancement,
perceived quality of images on mobile displays has been drastically improved. This paper presents a quantitative method
to evaluate perceived image quality of color images on mobile displays. Three image quality attributes, colorfulness,
contrast and brightness, are chosen to represent perceived image quality. Image quality assessment models are
constructed based on results of human visual experiments. In this paper, three phase human visual experiments are
designed to achieve credible outcomes while reducing time and resources needed for visual experiments. Values of
parameters of image quality assessment models are estimated based on results from human visual experiments.
Performances of different image quality assessment models are compared.