The phenomenon that is commonly referred to as "turbulence" in imaging is caused by the time and space-varying refraction index of the air which is due, among other factors, to temperature, air pressure, humidity, and wind conditions between the acquired scene and the image-capturing device. The resulting image sequence is also affected by the different and changing lighting conditions within the scene, by the actual distance between the observed objects and the camera, and by other artifacts introduced by the device itself. In this talk I will describe the problem of reconstructing the underlying image in mathematical terms, and illustrate a new method based on geometric and energy minimization methods.