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dc.contributor.authorFlores Goycochea, Carlos Albertoes
dc.date.accessioned2013-08-29T16:21:08Z
dc.date.available2013-08-29T16:21:08Z
dc.date.issued2010es
dc.identifier.urihttps://hdl.handle.net/20.500.14138/82
dc.description.abstractIn this work of thesis there appears the development of a technology of codification to achieve the compression of images satelitales, facilitating hereby his transmission on having used minor bandwidth and minor time of transmission, as well as also facilitating his storage on having used devices with minor capacity in bytes. This project is characterized by the implementation of computational algorithms based on the software Matlab, where one has developed two technologies of compression with the purpose of reaching a high degree of compression without altering too much the information contained in the image. They are two technologies combined that are in use in this thesis: the codification with losses, and without losses. The codification with losses is based on the use of transformed discreet of the cosine in 2D (two dimensions), as the JPEG standard uses it, and the codification without losses based on the use of the codification Huffman, where it is achieved to assign the minor quantity of bits for the codification without losing any information. This combination of technologies obtains valuable results especially in images satelitales that are obtained by very poor resolutions in comparison with the conventional photographiesen
dc.description.uriTesises
dc.formatapplication/pdf
dc.language.isospaes
dc.publisherUniversidad Ricardo Palmaes
dc.relation.urihttp://cybertesis.urp.edu.pe/urp/2010/flores_ca/html/index-frames.htmles
dc.rightsinfo:eu-repo/semantics/openAccesses
dc.rights.urihttps://creativecommons.org/licenses/by-nc/4.0/
dc.sourceUniversidad Ricardo Palmaes
dc.sourceRepositorio institucional - URPes
dc.subjectImágenes Digitales Satelitaleses
dc.subjectImagen Pancromática y Multiespectrales
dc.subjectTransformada Directa del Cosenoes
dc.subjectCódigo de Huffmanes
dc.titleCodificación de Imagenes Satelitales Utilizando Técnicas de Compresión con perdidas y sin perdidases
dc.typeinfo:eu-repo/semantics/bachelorThesises
thesis.degree.disciplineIngeniería Electrónicaes
thesis.degree.grantorUniversidad Ricardo Palma. Facultad de Ingenieríaes
thesis.degree.levelTítulo Profesionales
thesis.degree.nameIngeniero Electrónicoes
dc.publisher.countryPE


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