{"id":38526,"date":"2018-03-09T09:38:07","date_gmt":"2018-03-09T09:38:07","guid":{"rendered":"https:\/\/www.deberes.net\/tesis\/sin-categoria\/reconstruccion-automatica-de-imagenes-comprimidas-mediante-transformada-coseno-discreta-usando-metodos-bayesianos\/"},"modified":"2018-03-09T09:38:07","modified_gmt":"2018-03-09T09:38:07","slug":"reconstruccion-automatica-de-imagenes-comprimidas-mediante-transformada-coseno-discreta-usando-metodos-bayesianos","status":"publish","type":"post","link":"https:\/\/www.deberes.net\/tesis\/matematicas\/reconstruccion-automatica-de-imagenes-comprimidas-mediante-transformada-coseno-discreta-usando-metodos-bayesianos\/","title":{"rendered":"Reconstruccion automatica de imagenes comprimidas mediante transformada coseno discreta usando metodos bayesianos."},"content":{"rendered":"<h2>Tesis doctoral de <strong> Javier Mateos Delgado <\/strong><\/h2>\n<p>Los algoritmos de compresi\u00f3n de im\u00e1genes mediante transformada coseno discreta producen, a altas razones de compresi\u00f3n el llamado artificio de bloques. La reducci\u00f3n de este artificio se realiza mediante un proceso que se denomina reconstrucci\u00f3n de la imagen.  el objetivo de esta memoria es obtener m\u00e9todos de reconstrucci\u00f3n autom\u00e1tica de im\u00e1genes altamente comprimidas utilizando t\u00e9cnicas basadas transformada coseno discreta mediante un post-procesamiento llevado a cabo en el decodificador. Los m\u00e9todos propuestos estimar\u00e1n los par\u00e1metros asociados al proceso de reconstrucci\u00f3n dentro del paradigma bayesiano jer\u00e1rquico.  en la memoria se muestra que, usando este paradigma, se puede realizar la reconstrucci\u00f3n de la imagen y estimaci\u00f3n de los par\u00e1metros de forma autom\u00e1tica, sin intervenci\u00f3n alguna por parte del usuario, empleando t\u00e9cnicas robustas y bien fundamentadas.  si se dispone de alguna informaci\u00f3n sobre el posible valor de los par\u00e1metros, por ejemplo, porque se haya realizado una estimaci\u00f3n de los mismos en el codificador y se hayan transmitido junto a los datos de la imagen comprimida, en esta memoria se propone un m\u00e9todo para combinar esta informaci\u00f3n a priori sobre los par\u00e1metros con la informaci\u00f3n obtenida a partir de la imagen comprimida.  por \u00faltimo se extienden los resultados anteriores a la reconstrucci\u00f3n de im\u00e1genes en color.  la bondad de los m\u00e9todos se demuestra experimentalmente sobre im\u00e1genes reales.<\/p>\n<p>&nbsp;<\/p>\n<h3>Datos acad\u00e9micos de la tesis doctoral \u00ab<strong>Reconstruccion automatica de imagenes comprimidas mediante transformada coseno discreta usando metodos bayesianos.<\/strong>\u00ab<\/h3>\n<ul>\n<li><strong>T\u00edtulo de la tesis:<\/strong>\u00a0 Reconstruccion automatica de imagenes comprimidas mediante transformada coseno discreta usando metodos bayesianos. <\/li>\n<li><strong>Autor:<\/strong>\u00a0 Javier Mateos Delgado <\/li>\n<li><strong>Universidad:<\/strong>\u00a0 Granada<\/li>\n<li><strong>Fecha de lectura de la tesis:<\/strong>\u00a0 27\/07\/1998<\/li>\n<\/ul>\n<p>&nbsp;<\/p>\n<h3>Direcci\u00f3n y tribunal<\/h3>\n<ul>\n<li><strong>Director de la tesis<\/strong>\n<ul>\n<li>Rafael Molina Soriano<\/li>\n<\/ul>\n<\/li>\n<li><strong>Tribunal<\/strong>\n<ul>\n<li>Presidente del tribunal: nicolas Perez de la blanca capilla <\/li>\n<li>llu\u00eds Torres urgell (vocal)<\/li>\n<li>buenaventura Clares rodr\u00edguez (vocal)<\/li>\n<li>laura Mar\u00eda Roa romero (vocal)<\/li>\n<\/ul>\n<\/li>\n<\/ul>\n<p>&nbsp;<\/p>\n","protected":false},"excerpt":{"rendered":"<p>Tesis doctoral de Javier Mateos Delgado Los algoritmos de compresi\u00f3n de im\u00e1genes mediante transformada coseno discreta producen, a altas razones [&hellip;]<\/p>\n","protected":false},"author":1,"featured_media":0,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"site-sidebar-layout":"default","site-content-layout":"","ast-site-content-layout":"","site-content-style":"default","site-sidebar-style":"default","ast-global-header-display":"","ast-banner-title-visibility":"","ast-main-header-display":"","ast-hfb-above-header-display":"","ast-hfb-below-header-display":"","ast-hfb-mobile-header-display":"","site-post-title":"","ast-breadcrumbs-content":"","ast-featured-img":"","footer-sml-layout":"","theme-transparent-header-meta":"","adv-header-id-meta":"","stick-header-meta":"","header-above-stick-meta":"","header-main-stick-meta":"","header-below-stick-meta":"","astra-migrate-meta-layouts":"default","ast-page-background-enabled":"default","ast-page-background-meta":{"desktop":{"background-color":"var(--ast-global-color-4)","background-image":"","background-repeat":"repeat","background-position":"center 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