2013 | OriginalPaper | Chapter
Blind Deconvolution Using Alternating Maximum a Posteriori Estimation with Heavy-Tailed Priors
Authors : Jan Kotera, Filip Šroubek, Peyman Milanfar
Published in: Computer Analysis of Images and Patterns
Publisher: Springer Berlin Heidelberg
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Single image blind deconvolution aims to estimate the unknown blur from a single observed blurred image and recover the original sharp image. Such task is severely ill-posed and typical approaches involve some heuristic or other steps without clear mathematical explanation 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.