A preliminary image quality measure which attempts to take into account the sensitivities of the human visual system (HVS) is described. The main sensitivities considered are the background illumination -level and spatial frequency sensitivities. Given a digitized image the algorithm produces, among several other figures of merit, a plot of the information content (IC) versus the resolution. The IC for a given resolution is defined here as the sum of the weighted spectral components at that resolution.The HVS normalization is done via first intensity -remapping the image by a monotone increasing funciton representing the background illumination -level sensitivity, followed by a spectral filtering via an HVSderived weighting function representing the spatial frequency sensitivity.The developed quality measure is conveniently parametereized and interactive.It allows experimentation with numerous parameters of the HVS model to determine the optimum set for which the highest correlation with subjective evaluations can be achieved.