Sugeno-inspired aggregation functions applied to image reduction

dc.contributor.advisorTFEBustince Sola, Humberto
dc.contributor.affiliationEscuela Técnica Superior de Ingeniería Industrial, Informática y de Telecomunicaciónes_ES
dc.contributor.affiliationIndustria, Informatika eta Telekomunikazio Ingeniaritzako Goi Mailako Eskola Teknikoaeu
dc.contributor.authorIsturitz Sesma, Eneko
dc.date.accessioned2025-02-18T12:32:08Z
dc.date.available2025-02-18T12:32:08Z
dc.date.issued2025
dc.date.updated2025-02-18T11:19:29Z
dc.description.abstractThe aimofthis project is to study the behaviour of Sugeno-inspired aggregation functions when applied to image reduction. Several variations of the aggregation functions will be tested and compared, analysing their similarity to the original (non-reduced) image. In order to be able to compare the reduced images to the original ones, it will be necessary to study and apply an image re-scaling method. In this case, a bicubic interpolation will be used for the re-scaling process. This way, the previously reduced images will be compared to the original ones and the obtained results will be studied. To study the obtained results, two different methods will be used, the similarity between images (which gives a number or score as a result) and the Mean Squared Error (MSE).en
dc.description.degreeGraduado o Graduada en Ingeniería Informática por la Universidad Pública de Navarra (Programa Internacional)es_ES
dc.description.degreeInformatika Ingeniaritzan Graduatua Nafarroako Unibertsitate Publikoan (Nazioarteko Programa)eu
dc.format.mimetypeapplication/pdfen
dc.identifier.urihttps://academica-e.unavarra.es/handle/2454/53450
dc.language.isoeng
dc.rights.accessRightsinfo:eu-repo/semantics/openAccess
dc.subjectSugeno-integralen
dc.subjectAggregation functionen
dc.subjectImage reductionen
dc.subjectConvolutionen
dc.titleSugeno-inspired aggregation functions applied to image reductionen
dc.typeinfo:eu-repo/semantics/bachelorThesis
dspace.entity.typePublication
relation.isAdvisorTFEOfPublication1bdd7a0e-704f-48e5-8d27-4486444f82c9
relation.isAdvisorTFEOfPublication.latestForDiscovery1bdd7a0e-704f-48e5-8d27-4486444f82c9

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