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		<citationkey>HomemMasc:2007:StApIm</citationkey>
		<author>Homem, Murillo Rodrigo Petrucelli,</author>
		<author>Mascarenhas, Nelson Delfino d'Ávila,</author>
		<affiliation>Departamento de Computação, Universidade Federal de São Carlos</affiliation>
		<affiliation>Departamento de Computação, Universidade Federal de São Carlos</affiliation>
		<title>A Statistical Approach for Image Interpolation</title>
		<conferencename>Brazilian Symposium on Computer Graphics and Image Processing, 20 (SIBGRAPI)</conferencename>
		<year>2007</year>
		<editor>Gonçalves, Luiz,</editor>
		<editor>Wu, Shin Ting,</editor>
		<booktitle>Proceedings</booktitle>
		<date>Oct. 7-10, 2007</date>
		<publisheraddress>Porto Alegre</publisheraddress>
		<publisher>Sociedade Brasileira de Computação</publisher>
		<conferencelocation>Belo Horizonte</conferencelocation>
		<keywords>Statistical image interpolation, orthogonality principle.</keywords>
		<abstract>Interpolation is an image processing operation for improve the resolution of a digital image. In this work, following the orthogonality principle, and under the assumption that the actual image is a locally stationary random process, we propose an alternative scheme for image interpolation. In our approach, the computational complexity is similar to the first-order spline algorithm. The algorithm was compared with classical B-spline methods and also with a statistical interpolator previously proposed in the literature. According to the normalized mean square error criteria, the proposed method produced accurate results.</abstract>
		<language>en</language>
		<tertiarytype>Technical Poster</tertiarytype>
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