Improvements on stochastic vector quantization of images

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Título:	Improvements on stochastic vector quantization of images
Autor/a:	Torres Urgell, Lluís
Otros autores:	Universitat Politècnica de Catalunya. Departament de Teoria del Senyal i Comunicacions; Universitat Politècnica de Catalunya. DMAG - Grup d'Aplicacions Multimèdia Distribuïdes
Abstract:	A novel nonadaptive fixed-rate vector quantizer encoding scheme is presented, and preliminary results are shown. The design of the codebook has been based on a stochastic approach in order to match a previously defined model for the image to be encoded. Following this approach, the generation of the codebook is made extremely simple in terms of computational load. Good visual results are shown in the range of 0.5-0.8 bit/pixel. Much better performance is expected for adaptive schemes.
Abstract:	Peer Reviewed
Materia(s):	-Àrees temàtiques de la UPC::Enginyeria de la telecomunicació -Telecommunication -Vector quantisation -Computational complexity -Image coding -Stochastic processes -Telecomunicació
Derechos:	http://creativecommons.org/licenses/by-nc-nd/3.0/es/
Tipo de documento:	Artículo - Versión publicada Objeto de conferencia
Editor:	. ICASSP
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