We present a new algorithm for removing motion blur from a single image. Our method computes a deblurred image using a unied probabilistic model of both blur kernel estimation and unblurred image restoration. We present an analysis of the causes of common artifacts found in current deblurring methods, and then introduce several novel terms within this probabilistic model that are inspired by our analysis.

10.1.1.218.6835.pdf

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