A lot of research has been done to improve the algorithms that add motion blur to images that do not contain it[Brostow and Essa, 2001, Fischer et al., 2006]. Navarro et al. [2011a] presents research into the perception of motion blurred images, achieving a method that reduces the computing requirements of the motion blur rendering process. They explore psychophysical experiments and conclude that in certain cases, images can be rendered using aggressive simplifications without de- grading the perceived quality. These simplifications can be applied to object material and speed, shutter speed of the virtual camera, and the antialiasing levels applied by the rendering algorithm. Though their method shows different results, when compared side by side with other computation- ally heavy algorithms, they are perceptually indistinguishable when played under their experiments conditions. Rosado [2007]analyses a method of applying motion blur as a post-processing effect in games, considering motion blur to be important as it helps to smooth out a game’s appearance. This is especially significant when the game is rendered at 30fps or less. He also highlights how it is a vital effect in racing games, due to the perceived increase in realism and sense of speed.