{"id":27151,"date":"2018-03-09T09:19:17","date_gmt":"2018-03-09T09:19:17","guid":{"rendered":"https:\/\/www.deberes.net\/tesis\/sin-categoria\/deconvolucion-de-imagenes-bajo-multirresolucion\/"},"modified":"2018-03-09T09:19:17","modified_gmt":"2018-03-09T09:19:17","slug":"deconvolucion-de-imagenes-bajo-multirresolucion","status":"publish","type":"post","link":"https:\/\/www.deberes.net\/tesis\/sevilla\/deconvolucion-de-imagenes-bajo-multirresolucion\/","title":{"rendered":"Deconvoluci\u00f3n de im\u00e1genes bajo multirresoluci\u00f3n"},"content":{"rendered":"<h2>Tesis doctoral de <strong> Rafael Robles Arias <\/strong><\/h2>\n<p>La restauraci\u00f3n de im\u00e1genes digitales es uno de los m\u00e1s importantes y cr\u00edticos problemas que surgen en el campo del procesamiento de im\u00e1genes. Un caso particular lo constituye el problema de la deconvoluci\u00f3n de im\u00e1genes, por sus caracter\u00edsticas simplificadoras de linealidad e invarianza espacial del proceso de emborronamiento de la imagen durante su captura.  existen multitud de m\u00e9todos propuestos para la deconvoluci\u00f3n y se trata de un \u00e1rea de ingentes y actuales investigaciones. En casi todos los casos, el problema es planteado como un proceso de optimizaci\u00f3n, con b\u00fasqueda de \u00f3ptimo sobre cierto espacio vectorial. En la primera parte de este trabajo describiremos un nuevo paradigma para la resoluci\u00f3n de problemas de optimizaci\u00f3n sobre un espacio vectorial, que se concreta en los llamados algoritmos escalonados de optimizaci\u00f3n. En esencia, se trata de guiar la b\u00fasqueda bajo una subdivisi\u00f3n de tipo piramidal del espacio original, resultando una secuencia escalonada que se aproxima a la soluci\u00f3n. Dicha subdivisi\u00f3n se define como contexto multirresoluci\u00f3n sobre el espacio.  en la segunda parte de este trabajo, se han dise\u00f1ado algoritmos para la resoluci\u00f3n del problema de la deconvoluci\u00f3n de im\u00e1genes bajo el nuevo paradigma de los algoritmos escalonados de optimizaci\u00f3n, en dos versiones: una determinista, tomando como base el m\u00e9todo cgls para la resoluci\u00f3n de sistemas lineales mal condicionados y otra, estoc\u00e1stica, tomando como base los algoritmos de evoluci\u00f3n, dentro del paradigma de la programaci\u00f3n evolutiva. En ambos casos, distintos experimentos num\u00e9ricos muestran su eficiencia.  finalmente, en la tercera parte, se aborda el problema m\u00e1s general de la deconvoluci\u00f3n ciega, donde, a diferencia del problema cl\u00e1sico, no se dispone de ning\u00fan modelo matem\u00e1tico para el proceso de emborronamiento, aunque se siguen manteniendo las caracter\u00edsticas de linealidad e invarianza espacial. este problema est\u00e1 indet<\/p>\n<p>&nbsp;<\/p>\n<h3>Datos acad\u00e9micos de la tesis doctoral \u00ab<strong>Deconvoluci\u00f3n de im\u00e1genes bajo multirresoluci\u00f3n<\/strong>\u00ab<\/h3>\n<ul>\n<li><strong>T\u00edtulo de la tesis:<\/strong>\u00a0 Deconvoluci\u00f3n de im\u00e1genes bajo multirresoluci\u00f3n <\/li>\n<li><strong>Autor:<\/strong>\u00a0 Rafael Robles Arias <\/li>\n<li><strong>Universidad:<\/strong>\u00a0 Sevilla<\/li>\n<li><strong>Fecha de lectura de la tesis:<\/strong>\u00a0 28\/11\/2003<\/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>rend\u00f3n Fern\u00e1ndez P\u00e9rez<\/li>\n<\/ul>\n<\/li>\n<li><strong>Tribunal<\/strong>\n<ul>\n<li>Presidente del tribunal: rafael Bru Garc\u00eda <\/li>\n<li>Jes\u00fas Jim\u00e9nez fuensalida (vocal)<\/li>\n<li>felipe S\u00e1nchez mateos (vocal)<\/li>\n<li>Juan  Carlos Torres cantero (vocal)<\/li>\n<\/ul>\n<\/li>\n<\/ul>\n<p>&nbsp;<\/p>\n","protected":false},"excerpt":{"rendered":"<p>Tesis doctoral de Rafael Robles Arias La restauraci\u00f3n de im\u00e1genes digitales es uno de los m\u00e1s importantes y cr\u00edticos problemas [&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 center","background-size":"auto","background-attachment":"scroll","background-type":"","background-media":"","overlay-type":"","overlay-color":"","overlay-gradient":""},"tablet":{"background-color":"","background-image":"","background-repeat":"repeat","background-position":"center center","background-size":"auto","background-attachment":"scroll","background-type":"","background-media":"","overlay-type":"","overlay-color":"","overlay-gradient":""},"mobile":{"background-color":"","background-image":"","background-repeat":"repeat","background-position":"center center","background-size":"auto","background-attachment":"scroll","background-type":"","background-media":"","overlay-type":"","overlay-color":"","overlay-gradient":""}},"ast-content-background-meta":{"desktop":{"background-color":"var(--ast-global-color-5)","background-image":"","background-repeat":"repeat","background-position":"center center","background-size":"auto","background-attachment":"scroll","background-type":"","background-media":"","overlay-type":"","overlay-color":"","overlay-gradient":""},"tablet":{"background-color":"var(--ast-global-color-5)","background-image":"","background-repeat":"repeat","background-position":"center center","background-size":"auto","background-attachment":"scroll","background-type":"","background-media":"","overlay-type":"","overlay-color":"","overlay-gradient":""},"mobile":{"background-color":"var(--ast-global-color-5)","background-image":"","background-repeat":"repeat","background-position":"center center","background-size":"auto","background-attachment":"scroll","background-type":"","background-media":"","overlay-type":"","overlay-color":"","overlay-gradient":""}},"footnotes":""},"categories":[10715],"tags":[6127,25979,21897,15793,78114,78115],"class_list":["post-27151","post","type-post","status-publish","format-standard","hentry","category-sevilla","tag-felipe-sanchez-mateos","tag-jesus-jimenez-fuensalida","tag-juan-carlos-torres-cantero","tag-rafael-bru-garcia","tag-rafael-robles-arias","tag-rendon-fernandez-perez"],"_links":{"self":[{"href":"https:\/\/www.deberes.net\/tesis\/wp-json\/wp\/v2\/posts\/27151","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/www.deberes.net\/tesis\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/www.deberes.net\/tesis\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/www.deberes.net\/tesis\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/www.deberes.net\/tesis\/wp-json\/wp\/v2\/comments?post=27151"}],"version-history":[{"count":0,"href":"https:\/\/www.deberes.net\/tesis\/wp-json\/wp\/v2\/posts\/27151\/revisions"}],"wp:attachment":[{"href":"https:\/\/www.deberes.net\/tesis\/wp-json\/wp\/v2\/media?parent=27151"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.deberes.net\/tesis\/wp-json\/wp\/v2\/categories?post=27151"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.deberes.net\/tesis\/wp-json\/wp\/v2\/tags?post=27151"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}