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dc.contributor.authorAlvarez, Luis
dc.contributor.authorLions, Pierre-Louis
dc.contributor.authorMorel, Jean-Michel
dc.date.accessioned2014-12-15T09:39:38Z
dc.date.available2014-12-15T09:39:38Z
dc.date.issued1992
dc.identifier.urihttps://basepub.dauphine.fr/handle/123456789/14445
dc.language.isoenen
dc.subjectmean curvature motion of level setsen
dc.subjectimage restorationen
dc.subjectviscosity solutionsen
dc.subjectmultiscale vision modelsen
dc.subject.ddc519en
dc.titleImage Selective Smoothing and Edge Detection by Nonlinear Diffusion. IIen
dc.typeArticle accepté pour publication ou publié
dc.description.abstractenA stable algorithm is proposed for image restoration based on the “mean curvature motion” equation. Existence and uniqueness of the “viscosity” solution of the equation are proved, a $L^\infty $ stable algorithm is given, experimental results are shown, and the subjacent vision model is compared with those introduced recently by several vision researchers. The algorithm presented appears to be the sharpest possible among the multiscale image smoothing methods preserving uniqueness and stability.en
dc.relation.isversionofjnlnameSIAM Journal on Numerical Analysis
dc.relation.isversionofjnlvol29en
dc.relation.isversionofjnlissue3en
dc.relation.isversionofjnldate1992
dc.relation.isversionofjnlpages845-866en
dc.relation.isversionofdoihttp://dx.doi.org/10.1137/0729052en
dc.relation.isversionofjnlpublisherSIAMen
dc.subject.ddclabelProbabilités et mathématiques appliquéesen
dc.relation.forthcomingnonen
dc.relation.forthcomingprintnonen


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