Artificial displacement (the apparent motion of stationary objects) is one important component of atmospheric
turbulence distortion, which has led many researchers to propose motion compensation as a solution. Defining a
sufficiently dense set of motion estimates for successful restoration is challenging, particularly for time sensitive
applications. We introduce a new, control grid implementation of optical
flow that allows for rapid and analytical
solutions to the motion estimation problem. Our results demonstrate the effectiveness of using the resulting
motion field for removing articial displacements in turbulence distorted videos.