An experiment was performed to test the usability of a high-resolution LCD display for examining image quality of halftone algorithms. This experiment was also designed to evaluate the usefulness of an image appearance model in predicting the visibility and/or the perceptibility of noise in various halftone imaging techniques. In this process a paired comparison psychophysical experiment was developed to collect subjective quality data on noise levels for the various halftoning techniques studied. Next an image appearance model (iCAM) was used to create an objective noise metric. This appearance model was applied with the addition of a spatial filter approximating the human CSF. The experimental results show that the simulated halftone image quality is similar to expectations from experience with printed images and that an image difference metric can predict the general trends in algorithm preference.