This research project had focused on algorithms for imaging through atmospheric turbulence. An open dataset, called OTIS (Open Turbulent Image Set), was created for the community for algorithms assessment. A new wavelet burst accumulation method was proposed to reconstruct a restored image from a sequence of frames. We proposed a new spatio-temporal point of view for the moving object detection problem and we designed a vector field decomposition algorithm to numerically solved this problem. Finally, we mention some work currently in progress about a lucky imaging based super-resolution algorithm, as well as our current work on the simplification of the Fried kernel for deconvolution purposes.