- Published 2008 in Journal of Mathematical Imaging and Vision
DOI:10.1007/s10851-008-0130-1

We propose in this paper minimization algorithms for image restoration using dual functionals and dual norms. In order to extract a clean image u from a degraded version f=Ku+n (where f is the observation, K is a blurring operator and n represents additive noise), we impose a standard regularization penalty Φ(u)=∫ φ(|Du|)dx<∞ on u, where φ is positive… CONTINUE READING

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