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		<citationkey>MascarenhasSouCruBisRos:2000:EsThAp</citationkey>
		<author>Mascarenhas, Nelson D. A.,</author>
		<author>Souza, Ilana A.,</author>
		<author>Cruvinel, Paulo E.,</author>
		<author>Biscegli, Clovis I.,</author>
		<author>Rosa, Reinaldo R.,</author>
		<title>An estimation theoretic approach to 3D image interpolation</title>
		<conferencename>Brazilian Symposium on Computer Graphics and Image Processing, 13 (SIBGRAPI)</conferencename>
		<year>2000</year>
		<editor>Carvalho, Paulo Cezar Pinto,</editor>
		<editor>Walter, Marcelo,</editor>
		<date>October</date>
		<publisheraddress>Los Alamitos</publisheraddress>
		<publisher>IEEE Computer Society</publisher>
		<conferencelocation>Gramado, RS, Brazil</conferencelocation>
		<keywords>interpolation 3D image interpolation Bayesian estimation theory a priori information X-ray image interpolation solar atmosphere RMN tomographic images tomato.</keywords>
		<abstract>The paper presents a new approach to image 3D interpolation using Bayesian estimation theory. Two methods are presented, depending on the used a priori information. The approach is applied to the interpolation of X-ray images from the solar atmosphere taken at different depths, as well as RMN tomographic images of a tomato.</abstract>
		<pages>163-169</pages>
		<notes>The conference was held in Gramado, RS, Brazil, from October 17 to 20.</notes>
		<organization>SBC - Brazilian Computer Society</organization>
		<tertiarytype>Full Paper</tertiarytype>
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