A Geometric Method for Imaging through Turbulence
vendredi 4 mai 2012, 11h00 - 12h00
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. Overall, the resulting sequence may be interpreted as the combined effect of atmospheric blurring and a time-dependent domain transformation of an underlying image, which we wish to reconstruct. In this talk I will illustrate recovery method based on a geometric technique that estimates the deformation of each frame in the image sequence and a deconvolution step that greatly decreases the atmospheric blur, thus yielding a sharp final result.