{"id":480,"date":"2023-09-20T12:19:43","date_gmt":"2023-09-20T11:19:43","guid":{"rendered":"https:\/\/yanntraonmilin.wordpress.com\/?p=480"},"modified":"2023-09-20T12:19:43","modified_gmt":"2023-09-20T11:19:43","slug":"new-preprint-8","status":"publish","type":"post","link":"https:\/\/yanntraonmilin.perso.math.cnrs.fr\/?p=480","title":{"rendered":"New preprint"},"content":{"rendered":"\n<p><a href=\"https:\/\/hal.science\/hal-04207313v1\">Adaptive Parameter Selection For Gradient-sparse + Low Patch-rank Recovery: Application To Image Decomposition<\/a>. A. Guennec, J.-F. Aujol, Y. Traonmilin.  2023.<\/p>\n\n\n\n<p><\/p>\n\n\n\n<p>Abstract: &#8220;In this work, we are interested in gradient sparse + low patchrank signal recovery for image structure-texture decomposition. We locally model the structure as gradient-sparse and the texture as of low patch-rank. Moreover, we propose a rule based upon theoretical results of sparse + low-rank matrix recovery in order to automatically tune our model depending on the local content and we numerically validate this proposition.&#8221;<\/p>\n","protected":false},"excerpt":{"rendered":"<p>Adaptive Parameter Selection For Gradient-sparse + Low Patch-rank Recovery: Application To Image Decomposition. A. Guennec, J.-F. Aujol, Y. Traonmilin. 2023. Abstract: &#8220;In this work, we are interested in gradient sparse + low patchrank signal recovery for image structure-texture decomposition. We locally model the structure as gradient-sparse and the texture as of low patch-rank. Moreover, we [&hellip;]<\/p>\n","protected":false},"author":1,"featured_media":0,"comment_status":"closed","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[5],"tags":[],"class_list":["post-480","post","type-post","status-publish","format-standard","hentry","category-paper"],"_links":{"self":[{"href":"https:\/\/yanntraonmilin.perso.math.cnrs.fr\/index.php?rest_route=\/wp\/v2\/posts\/480","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/yanntraonmilin.perso.math.cnrs.fr\/index.php?rest_route=\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/yanntraonmilin.perso.math.cnrs.fr\/index.php?rest_route=\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/yanntraonmilin.perso.math.cnrs.fr\/index.php?rest_route=\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/yanntraonmilin.perso.math.cnrs.fr\/index.php?rest_route=%2Fwp%2Fv2%2Fcomments&post=480"}],"version-history":[{"count":0,"href":"https:\/\/yanntraonmilin.perso.math.cnrs.fr\/index.php?rest_route=\/wp\/v2\/posts\/480\/revisions"}],"wp:attachment":[{"href":"https:\/\/yanntraonmilin.perso.math.cnrs.fr\/index.php?rest_route=%2Fwp%2Fv2%2Fmedia&parent=480"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/yanntraonmilin.perso.math.cnrs.fr\/index.php?rest_route=%2Fwp%2Fv2%2Fcategories&post=480"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/yanntraonmilin.perso.math.cnrs.fr\/index.php?rest_route=%2Fwp%2Fv2%2Ftags&post=480"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}