Objetivo High resolution (HR) images are of interest in many fields such as medical imaging, surveillance, and satellite imaging. Signal processing based resolution enhancement methods have been finding increasing use due to the limitations in the physical principles as well as limitations in optics and electronics technology. However, none of the methods in curent use performs satisfactorily when appliedto accurate registration. Robust registration models and solutions for multiple object motion and occlusions should be incorporated into these methods. We propose using a super-resolution (SR) reconstruction algorithm based on least squares (LS) filtering combined with a spatiotemporal classification algorithm. Using these classified imageswith corresponding LS filter modes and classes, we intend to generate higher resolution images. Registration and multiple object movementswill be incorporated into different LS filter classes without requiring accurate estimation of these changes. The proposed technique will be demonstrated on surveillance images acquired from thermal imaging sensors. Ámbito científico engineering and technologymechanical engineeringvehicle engineeringaerospace engineeringsatellite technologyengineering and technologyelectrical engineering, electronic engineering, information engineeringelectronic engineeringsignal processingnatural sciencesphysical sciencesopticsmicroscopysuper resolution microscopyengineering and technologyelectrical engineering, electronic engineering, information engineeringelectronic engineeringsensorsengineering and technologymedical engineeringdiagnostic imaging Programa(s) FP7-PEOPLE - Specific programme "People" implementing the Seventh Framework Programme of the European Community for research, technological development and demonstration activities (2007 to 2013) Tema(s) PEOPLE-2007-4-3.IRG - Marie Curie Action: "International Reintegration Grants" Convocatoria de propuestas FP7-PEOPLE-IRG-2008 Consulte otros proyectos de esta convocatoria Régimen de financiación MC-IRG - International Re-integration Grants (IRG) Coordinador ASELSAN ELEKTRONIK SANAYI VE TICARET ANONIM SIRKETI Aportación de la UE € 100 000,00 Dirección MEHMET AKIF ERSOY MAHALLESI 296 CADDE 16 06172 YENIMAHALLE ANKARA Turquía Ver en el mapa Región Batı Anadolu Ankara Ankara Tipo de actividad Private for-profit entities (excluding Higher or Secondary Education Establishments) Contacto administrativo S. Kubilay Pakin (Dr.) Enlaces Contactar con la organización Opens in new window Coste total Sin datos
