简介:Inthispaper,weproposeadiscrepancyrule-basedmethodtoautomaticallychoosetheregularizationparametersfortotalvariationimagerestorationproblems.Theregularizationparametersareadjusteddynamicallyineachiteration.Numericalresultsareshowntoillustratetheperformanceoftheproposedmethod.
简介:Weproposeanewalgorithmforthetotalvariationbasedonimagedenoisingproblem.ThesplitBregmanmethodisusedtoconvertanunconstrainedminimizationdenoisingproblemtoalinearsystemintheouteriteration.Analgebraicmulti-gridmethodisappliedtosolvethelinearsystemintheinneriteration.Furthermore,Krylovsubspaceaccelerationisadoptedtoimproveconvergenceintheouteriteration.Numericalexperimentsdemonstratethatthisalgorithmisefficientevenforimageswithlargesignal-to-noiseratio.
简介:RecentlyGuointroducedintegratedMeyer-KonigandZelleroperatorsandstudiedtherateofconvergenceforfunctionofboundedvariation.Inthisnotewegiveasharpestimatefortheseoperators.
简介:Inthispaper,weprovethattheprocessofproductvariationofatwo-parametersmoothmartingaleadmitsan∞modification,whichcanbeconstructedasthequasi-surelimitofsumofthecorrespondingproductvariation.