Identificador persistente para citar o vincular este elemento: http://hdl.handle.net/10553/47461
Título: Multiresolution compression schemes for medical image and volume data
Autores/as: Martín, Miguel Á
Alberola, Carlos
De Acedo, Jorge Sanz
Ruiz-Alzola, Juan 
Clasificación UNESCO: 3314 Tecnología médica
Palabras clave: Image resolution
Image coding
Biomedical imaging
Spatial resolution
Vector quantization, et al.
Fecha de publicación: 2001
Publicación seriada: Annual Reports of the Research Reactor Institute, Kyoto University
Resumen: In this paper we propose a multiresolution compression scheme applied to image and volume data. It is intended for rapid browsing in graphical files, in which some regions of interest may exist; therefore the compression algorithms focus on incorporating quick full-reconstruction procedures, both in images and volumes. This scheme is based on vector quantization of the coefficients of a wavelet decomposition. The differences in the methods lie on how vectors in the multiresolution decompositions are selected for vector quantization. We have also developed a client-server application using this scheme, which allows images with increasing levels of detail to be represented in the client system as they are received from the server and decoded. Numerical results show the performances of all the selections made.
URI: http://hdl.handle.net/10553/47461
ISSN: 0454-9244
Fuente: Annual Reports of the Research Reactor Institute, Kyoto University[ISSN 0454-9244],v. 3, p. 2437-2440
Colección:Actas de congresos
miniatura
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