we present a method to enhance the quality of a video sequence captured through a turbulent atmospheric medium. enhancement is framed as the inference of the radiance of the distant scene, represented as a latent image," that is assumed to be constant throughout the video. temporal distortion is thus zero-mean and temporal averaging produces a blurred version of the scene's radiance, that is processed via a sobolev gradient flow to yield the latent image in a way that is reminiscent of the lucky region" method. without enforcing prior knowledge, we can stabilize the video sequence while preserving ne details. we also present the well-posedness theory for the stabilizing pde and a linear stability analysis of the numerical scheme. this is a joint work with sung ha kang, stefano soatto and andrea bertozzi.