Novel display algorithms such as low-persistence displays, black frame insertion, and temporal resolution multiplexing in- troduce temporal change into images at 40-180 Hz, on the bound- ary of the temporal integration of the visual system. This can lead to flicker, a highly-objectionable artifact known to induce viewer discomfort. The critical flicker frequency (CFF) alone does not model this phenomenon well, as flicker sensitivity varies with contrast, and spatial frequency; a content-aware model is re- quired. In this paper, we introduce a visual model for predicting flicker visibility in temporally changing images. The model per- forms a multi-scale analysis on the difference between consecu- tive frames, normalizing values with the spatio-temporal contrast sensitivity function as approximated by the pyramid of visibility. The output of the model is a 2D detection probability map. We ran a subjective flicker marking experiment to fit the model pa- rameters, then analyze the difference between two display algo- rithms, black frame insertion and temporal resolution multiplex- ing, to demonstrate the application of our model.