{"id":2763,"date":"2020-09-03T23:33:44","date_gmt":"2020-09-03T14:33:44","guid":{"rendered":"http:\/\/msiplab.eng.niigata-u.ac.jp\/?p=2763"},"modified":"2020-09-05T12:18:44","modified_gmt":"2020-09-05T03:18:44","slug":"saivdr-release20200903-%e5%85%ac%e9%96%8b","status":"publish","type":"post","link":"https:\/\/www.eng.niigata-u.ac.jp\/~msiplab\/index.php\/archives\/2763","title":{"rendered":"SaivDr-Release20200903 \u516c\u958b"},"content":{"rendered":"<p>\u7d04\u534a\u5e74\u3076\u308a\u306b<a href=\"https:\/\/jp.mathworks.com\/matlabcentral\/fileexchange\/45084-saivdr-package\">SaivDr (Sparsity-Aware Image and Volumetric Data Restoration)\u3000\u30d1\u30c3\u30b1\u30fc\u30b8<\/a>\u3092\u66f4\u65b0\u3057\u307e\u3057\u305f\u3002<\/p>\n<p>\u4eca\u56de\u306f\u65b0\u305f\u306b\uff0cMATLAB Deep Learning Toolbox \u3068\u5171\u306b\u5229\u7528\u3067\u304d\u308b\u30ab\u30b9\u30bf\u30e0\u30ec\u30a4\u30e4\u3068\u30b5\u30f3\u30d7\u30eb\u30b3\u30fc\u30c9\u3092\u8ffd\u52a0\u3057\u307e\u3057\u305f\u3002\u3053\u308c\u307e\u3067\u3088\u308a\u3082\u67d4\u8edf\u306aDAG\u69cb\u6210\u304c\u3067\u304d\u307e\u3059\u3002<\/p>\n<p><a href=\"http:\/\/msiplab.eng.niigata-u.ac.jp\/projects\/imagetransform\">NSOLT<\/a>\u306b\u3088\u3063\u3066\uff0cParseval \u30bf\u30a4\u30c8\u3067\u5bfe\u79f0\u306a\u591a\u91cd\u89e3\u50cf\u5ea6\u306e\u7573\u307f\u8fbc\u307f\u5c64\u3092\u5b9f\u73fe\u3067\u304d\u307e\u3059\u3002NSOLT\u3092\u7573\u307f\u8fbc\u307f\u5c64\u3068\u3057\u3066\u7573\u307f\u8fbc\u307f\u30cb\u30e5\u30fc\u30e9\u30eb\u30cd\u30c3\u30c8\u30ef\u30fc\u30af\u306e\u7247\u9685\u306b\u7f6e\u304f\u3053\u3068\u3082\u3067\u304d\u307e\u3059\u3002<\/p>\n<p><img loading=\"lazy\" decoding=\"async\" class=\"size-medium wp-image-884 aligncenter\" src=\"http:\/\/msiplab.eng.niigata-u.ac.jp\/cgi-bin\/wordpress\/wp-content\/uploads\/2017\/07\/latstrnsolt-300x178.png\" alt=\"\" width=\"300\" height=\"178\" srcset=\"https:\/\/www.eng.niigata-u.ac.jp\/~msiplab\/wordpress\/wp-content\/uploads\/2017\/07\/latstrnsolt-300x178.png 300w, https:\/\/www.eng.niigata-u.ac.jp\/~msiplab\/wordpress\/wp-content\/uploads\/2017\/07\/latstrnsolt.png 720w\" sizes=\"auto, (max-width: 300px) 100vw, 300px\" \/><\/p>\n<p>&nbsp;<\/p>\n<p>\u662f\u975e\u304a\u8a66\u3057\u4e0b\u3055\u3044\u3002<\/p>\n<p>\u8b1d\u8f9e\uff1a\u672c\u7814\u7a76\u306f<a href=\"https:\/\/kaken.nii.ac.jp\/ja\/grant\/KAKENHI-PROJECT-19H04135\/\">\u79d1\u7814\u8cbb19H04135<\/a>\u306e\u52a9\u6210\u306b\u3088\u308b\u3002<\/p>\n<p>&nbsp;<\/p>","protected":false},"excerpt":{"rendered":"<p>\u7d04\u534a\u5e74\u3076\u308a\u306bSaivDr (Sparsity-Aware Image and Volumetric Data Restoration)\u3000\u30d1\u30c3\u30b1\u30fc\u30b8\u3092\u66f4\u65b0\u3057\u307e\u3057\u305f\u3002 \u4eca\u56de\u306f\u65b0\u305f\u306b\uff0cMATLAB Deep Learning  &hellip; <\/p>\n<p class=\"link-more\"><a href=\"https:\/\/www.eng.niigata-u.ac.jp\/~msiplab\/index.php\/archives\/2763\" class=\"more-link\"><span class=\"screen-reader-text\">&#8220;SaivDr-Release20200903 \u516c\u958b&#8221; \u306e<\/span>\u7d9a\u304d\u3092\u8aad\u3080<\/a><\/p>\n","protected":false},"author":1,"featured_media":2768,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[4],"tags":[113,54,18,21,82,15,30,114,115],"class_list":["post-2763","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-topics","tag-custom-layer","tag-deep-learning","tag-dictionary-learning","tag-filter-banks","tag-image-restoration","tag-matlab","tag-nsolt","tag-parseval-tight-frame","tag-wavelets"],"_links":{"self":[{"href":"https:\/\/www.eng.niigata-u.ac.jp\/~msiplab\/index.php\/wp-json\/wp\/v2\/posts\/2763","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/www.eng.niigata-u.ac.jp\/~msiplab\/index.php\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/www.eng.niigata-u.ac.jp\/~msiplab\/index.php\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/www.eng.niigata-u.ac.jp\/~msiplab\/index.php\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/www.eng.niigata-u.ac.jp\/~msiplab\/index.php\/wp-json\/wp\/v2\/comments?post=2763"}],"version-history":[{"count":8,"href":"https:\/\/www.eng.niigata-u.ac.jp\/~msiplab\/index.php\/wp-json\/wp\/v2\/posts\/2763\/revisions"}],"predecessor-version":[{"id":2773,"href":"https:\/\/www.eng.niigata-u.ac.jp\/~msiplab\/index.php\/wp-json\/wp\/v2\/posts\/2763\/revisions\/2773"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/www.eng.niigata-u.ac.jp\/~msiplab\/index.php\/wp-json\/wp\/v2\/media\/2768"}],"wp:attachment":[{"href":"https:\/\/www.eng.niigata-u.ac.jp\/~msiplab\/index.php\/wp-json\/wp\/v2\/media?parent=2763"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.eng.niigata-u.ac.jp\/~msiplab\/index.php\/wp-json\/wp\/v2\/categories?post=2763"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.eng.niigata-u.ac.jp\/~msiplab\/index.php\/wp-json\/wp\/v2\/tags?post=2763"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}