{"id":6014,"date":"2018-12-11T15:51:19","date_gmt":"2018-12-11T14:51:19","guid":{"rendered":"https:\/\/wp_listic_old.lamp2020.local\/?p=6014"},"modified":"2020-06-10T17:47:06","modified_gmt":"2020-06-10T15:47:06","slug":"seminaire-jean-marie-nicolas-lundi-17-decembre-2018-15h00-amphi","status":"publish","type":"post","link":"https:\/\/www.univ-smb.fr\/listic\/archive-actualites\/seminaire-jean-marie-nicolas-lundi-17-decembre-2018-15h00-amphi\/","title":{"rendered":"17 d\u00e9cembre 2018 : s\u00e9minaire de Jean-Marie Nicolas, \u00e0 15h en A126"},"content":{"rendered":"<p>S\u00e9minaire Jean-Marie NICOLAS (T\u00e9l\u00e9com ParisTech)<\/p>\n<p>&nbsp;<\/p>\n<p style=\"color: #000000;font-family: arial, helvetica, sans-serif;font-size: 16px;font-style: normal;font-weight: 400;letter-spacing: normal;text-align: start;text-indent: 0px;text-transform: none;background-color: #fdfcfa;margin: 0px\"><span style=\"font-family: 'arial,helvetica,sans-serif';font-size: 16px;color: #000000\">Le r\u00e9sum\u00e9 de cette pr\u00e9sentation est le suivant:<br \/>\n<\/span><\/p>\n<p style=\"color: #000000;font-family: arial, helvetica, sans-serif;font-size: 16px;font-style: normal;font-weight: 400;letter-spacing: normal;text-align: start;text-indent: 0px;text-transform: none;background-color: #fdfcfa;margin: 0px\"><span style=\"font-family: monospace;font-size: 16px;color: #333333;background-color: #fdfcfa\">Les lois de l&rsquo;imagerie coh\u00e9rente sont d\u00e9finies sur R+ et ont une particularit\u00e9 de pouvoir \u00eatre mod\u00e9lis\u00e9es avec une param\u00e9trisation mettant en valeur d&rsquo;une part un facteur d&rsquo;\u00e9chelle, et d&rsquo;autre part des facteurs de forme, ces deux cat\u00e9gories de facteurs \u00e9tant ind\u00e9pendants. Il existe dans ce cas une approche, les log-statistiques ou statistiques de Mellin, qui est parfaitement adapt\u00e9e \u00e0 la notion de bruit multiplicatif. Or effectivement, les lois de l&rsquo;imagerie coh\u00e9rente peuvent se voir comme une texture sur laquelle se rajoute du bruit multiplicatif : le chatoiement. Pour un b\u00e9otien, tout cela peut sembler tr\u00e8s compliqu\u00e9. Aussi, a \u00e9t\u00e9 d\u00e9velopp\u00e9 \u00e0 T\u00e9l\u00e9com Paristech une plateforme en python~: SARLAB, qui permet de d\u00e9mystifier toutes les lois utilis\u00e9es et qui permet aussi de se rendre compte qu&rsquo;il existe une famille de fonctions, les fonctions de Meijer, dont l&rsquo;\u00e9criture simplifie consid\u00e9rablement les comparaisons de toutes les lois utilis\u00e9es actuellement. L&rsquo;objectif de ce s\u00e9minaire est d&rsquo;une part le rappel du formalisme des log-statistiques appliqu\u00e9es aux lois de l&rsquo;imagerie coh\u00e9rente, et d&rsquo;autre part de montrer l&rsquo;outil SARLAB qui permet depuis n&rsquo;importe quel portable ou ordinateur de se familiariser avec ces m\u00e9thodes.<\/span><span style=\"font-family: 'arial,helvetica,sans-serif';font-size: 16px;color: #000000\"><br \/>\n<\/span><\/p>\n","protected":false},"excerpt":{"rendered":"<p>S\u00e9minaire Jean-Marie NICOLAS (T\u00e9l\u00e9com ParisTech) &nbsp; Le r\u00e9sum\u00e9 de cette pr\u00e9sentation est le suivant: Les lois de l&rsquo;imagerie coh\u00e9rente sont d\u00e9finies sur R+ et ont une particularit\u00e9 de pouvoir \u00eatre mod\u00e9lis\u00e9es avec une param\u00e9trisation mettant [&hellip;]<\/p>\n","protected":false},"author":129,"featured_media":2524,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"_acf_changed":false,"_seopress_titles_title":"","_seopress_titles_desc":"","_seopress_robots_index":"","_seopress_robots_follow":"","_seopress_robots_imageindex":"","_seopress_robots_snippet":"","_seopress_robots_primary_cat":"none","_seopress_robots_breadcrumbs":"","_seopress_robots_freeze_modified_date":"","_seopress_robots_custom_modified_date":"","_seopress_robots_canonical":"","_seopress_social_fb_title":"","_seopress_social_fb_desc":"","_seopress_social_fb_img":"","_seopress_social_fb_img_attachment_id":0,"_seopress_social_fb_img_width":0,"_seopress_social_fb_img_height":0,"_seopress_social_twitter_title":"","_seopress_social_twitter_desc":"","_seopress_social_twitter_img":"","_seopress_social_twitter_img_attachment_id":0,"_seopress_social_twitter_img_width":0,"_seopress_social_twitter_img_height":0,"_seopress_redirections_value":"","_seopress_redirections_enabled":"","_seopress_redirections_enabled_regex":"","_seopress_redirections_logged_status":"","_seopress_redirections_param":"","_seopress_redirections_type":301,"_seopress_analysis_target_kw":"","_seopress_news_disabled":"","_seopress_video_disabled":"","_seopress_video":[],"_seopress_pro_schemas_manual":[],"_seopress_pro_rich_snippets_disable_all":"","_seopress_pro_rich_snippets_disable":[],"_seopress_pro_schemas":[],"_relevanssi_hide_post":"","_relevanssi_hide_content":"","_relevanssi_pin_for_all":"","_relevanssi_pin_keywords":"","_relevanssi_unpin_keywords":"","_relevanssi_related_keywords":"","_relevanssi_related_include_ids":"","_relevanssi_related_exclude_ids":"","_relevanssi_related_no_append":"","_relevanssi_related_not_related":"","_relevanssi_related_posts":"","_relevanssi_noindex_reason":"","_jetpack_newsletter_access":"","_jetpack_dont_email_post_to_subs":false,"_jetpack_newsletter_tier_id":0,"_jetpack_memberships_contains_paywalled_content":false,"_jetpack_feature_clip_id":0,"_jetpack_memberships_contains_paid_content":false,"footnotes":"","jetpack_post_was_ever_published":false},"categories":[19],"tags":[],"class_list":["post-6014","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-archive-actualites"],"acf":[],"jetpack_sharing_enabled":true,"jetpack_featured_media_url":"https:\/\/www.univ-smb.fr\/listic\/wp-content\/uploads\/sites\/66\/2017\/11\/newsseminaire.jpg","_links":{"self":[{"href":"https:\/\/www.univ-smb.fr\/listic\/wp-json\/wp\/v2\/posts\/6014","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/www.univ-smb.fr\/listic\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/www.univ-smb.fr\/listic\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/www.univ-smb.fr\/listic\/wp-json\/wp\/v2\/users\/129"}],"replies":[{"embeddable":true,"href":"https:\/\/www.univ-smb.fr\/listic\/wp-json\/wp\/v2\/comments?post=6014"}],"version-history":[{"count":3,"href":"https:\/\/www.univ-smb.fr\/listic\/wp-json\/wp\/v2\/posts\/6014\/revisions"}],"predecessor-version":[{"id":10720,"href":"https:\/\/www.univ-smb.fr\/listic\/wp-json\/wp\/v2\/posts\/6014\/revisions\/10720"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/www.univ-smb.fr\/listic\/wp-json\/wp\/v2\/media\/2524"}],"wp:attachment":[{"href":"https:\/\/www.univ-smb.fr\/listic\/wp-json\/wp\/v2\/media?parent=6014"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.univ-smb.fr\/listic\/wp-json\/wp\/v2\/categories?post=6014"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.univ-smb.fr\/listic\/wp-json\/wp\/v2\/tags?post=6014"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}