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		<doi>10.1109/SIBGRAPI.2005.4</doi>
		<citationkey>SalinaMasc:2005:HyEsTh</citationkey>
		<title>A hybrid estimation theoretic-POCS method for tomographic image reconstruction</title>
		<format>On-line</format>
		<year>2005</year>
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		<author>Salina, Fernando Vernal,</author>
		<author>Mascarenhas, Nelson Delfino d'Ávila,</author>
		<affiliation>USP – Universidade de São Paulo</affiliation>
		<affiliation>UFSCar – Universidade Federal de São Carlos</affiliation>
		<editor>Rodrigues, Maria Andréia Formico,</editor>
		<editor>Frery, Alejandro César,</editor>
		<e-mailaddress>salina@if.sc.usp.br</e-mailaddress>
		<conferencename>Brazilian Symposium on Computer Graphics and Image Processing, 18 (SIBGRAPI)</conferencename>
		<conferencelocation>Natal, RN, Brazil</conferencelocation>
		<date>9-12 Oct. 2005</date>
		<publisher>IEEE Computer Society</publisher>
		<publisheraddress>Los Alamitos</publisheraddress>
		<booktitle>Proceedings</booktitle>
		<tertiarytype>Full Paper</tertiarytype>
		<transferableflag>1</transferableflag>
		<versiontype>finaldraft</versiontype>
		<keywords>POCS, tomographic, reconstruction, projection, convex sets.</keywords>
		<abstract>We present in this work a new method for the tomographic reconstruction with Poisson noise corrupted projections. The reconstruction method is a hybrid estimation theoretic-POCS (Projection Onto Convex Sets) method performed by first estimating the noisy projections using Anscombe Transformation, Discrete Wavelet Transform and pointwise Wiener filter and subsequently reconstructing the images through a  parallel POCS method. The use of a previous filtering of the projections imposes a tighter restriction on the observation of the POCS method, allowing a better reconstruction, with a very little increase in computational cost.</abstract>
		<language>en</language>
		<targetfile>salinaf_tomographic.pdf</targetfile>
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		<url>http://sibgrapi.sid.inpe.br/rep-/sid.inpe.br/banon/2005/07.15.21.08</url>
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