Search
Now showing items 51-51 of 51
Efficient Marginal Likelihood Optimization in Blind Deconvolution
(2011-04-04)
In blind deconvolution one aims to estimate from an input blurred image y a sharp image x and an unknown blur kernel k. Recent research shows that a key to success is to consider the overall shape of the posterior distribution ...