TitleRegularization parameter choice for total variation based image deringing algorithm
Publication typeConference paper
Author(s)A.V.Nasonov, A.S.Krylov
Publication date2013
Conference23-th International Conference on Computer Graphics GraphiCon'2013
Page(s)87-90
AddressVladivostok, Russia
AbstractThe problem of finding regularization parameter for image deringing algorithm is considered. Different images from the ringing database with modelled ringing effect were processed by total variation based ringing suppression algorithm. Reference images were used to find deringing parameter values for every image. The functional dependence between deringing parameters and ringing level was found that can be used to perform noreference image ringing suppression.

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