I will discuss blind deconvolution algorithms that have been successfully used in the field of communications for several decades and how they can be adapted to the problem of blind deconvolution of images. This yields algorithms that can be rigorously shown to recover the correct blur kernel under certain conditions. I will also discuss the relationship between these algorithms and some recent heuristic algorithms for blind image deconvolution.