Single image blind deconvolution aims to estimate the unknown blur from a single observed blurred image and recover the orig- inal sharp image. Such task is severely ill-posed and typical approaches involve some heuristic or other steps without clear mathematical explana- tion to arrive at an acceptable solution. We show that a straightforward maximum a posteriory estimation combined with very sparse priors and an efficient numerical method can produce results, which compete with much more complicated state-of-the-art methods.
['Jan Kotera', 'Filip Sroubek', 'Peyman Milanfar']
Blind Deconvolution Using Alternating Maximum a Posteriori Estimation with Heavy-Tailed Priors