<?xml version="1.0" encoding="ISO-8859-1"?>
<metadatalist>
	<metadata ReferenceType="Conference Proceedings">
		<site>sibgrapi.sid.inpe.br 802</site>
		<holdercode>{ibi 8JMKD3MGPEW34M/46T9EHH}</holdercode>
		<identifier>6qtX3pFwXQZG2LgkFdY/UMG46</identifier>
		<repository>sid.inpe.br/sibgrapi@80/2008/07.17.15.53</repository>
		<lastupdate>2008:07.17.15.53.19 sid.inpe.br/banon/2001/03.30.15.38 administrator</lastupdate>
		<metadatarepository>sid.inpe.br/sibgrapi@80/2008/07.17.15.53.20</metadatarepository>
		<metadatalastupdate>2022:06.14.00.13.41 sid.inpe.br/banon/2001/03.30.15.38 administrator {D 2008}</metadatalastupdate>
		<doi>10.1109/SIBGRAPI.2008.21</doi>
		<citationkey>ZibettiMayeBaza:2008:ReSiSu</citationkey>
		<title>Regularized simultaneous super-resolution with automatic determination of the parameters</title>
		<format>Printed, On-line.</format>
		<year>2008</year>
		<numberoffiles>1</numberoffiles>
		<size>287 KiB</size>
		<author>Zibetti, Marcelo Victor Wust,</author>
		<author>Mayer, Joceli,</author>
		<author>Bazan, Fermín Sinforiano Viloche,</author>
		<affiliation>Federal University of Santa Catarina</affiliation>
		<affiliation>Federal University of Santa Catarina</affiliation>
		<affiliation>Federal University of Santa Catarina</affiliation>
		<editor>Jung, Cláudio Rosito,</editor>
		<editor>Walter, Marcelo,</editor>
		<conferencename>Brazilian Symposium on Computer Graphics and Image Processing, 21 (SIBGRAPI)</conferencename>
		<conferencelocation>Campo Grande, MS, Brazil</conferencelocation>
		<date>12-15 Oct. 2008</date>
		<publisher>IEEE Computer Society</publisher>
		<publisheraddress>Los Alamitos</publisheraddress>
		<booktitle>Proceedings</booktitle>
		<tertiarytype>Full Paper</tertiarytype>
		<transferableflag>1</transferableflag>
		<versiontype>finaldraft</versiontype>
		<keywords>simultaneous super-resolution, regularization, Bayesian estimation, JMAP.</keywords>
		<abstract>We derive a novel method for automatic determination of the regularization parameters applicable for the class of simultaneous super-resolution (SR) algorithms. The proposed method is based on the classical joint maximum a posteriori (JMAP) estimation technique, which is a fast alternative to estimate the parameters. Unfortunately, the classical JMAP technique can be unstable and generates multiple local minima. In order to stabilize the JMAP estimation, while achieving a cost function with a unique global solution, we derive an improved solution by modeling the JMAP hyperparameters with a gamma prior distribution. Experimental results illustrate the effectiveness of the proposed method for automatic determination of the regularization parameters for the simultaneous SR. We also contrast the proposed method to a reference method named KNOWN. KNOWN is a MAP based simultaneous SR algorithm where the parameters are fixed, either known a priori or extracted from the high-resolution frames which are not usually available in practice.</abstract>
		<language>en</language>
		<targetfile>zibetti-SimultaneousParameter.pdf</targetfile>
		<usergroup>marcelo.zibetti@terra.com.br administrator</usergroup>
		<visibility>shown</visibility>
		<mirrorrepository>sid.inpe.br/banon/2001/03.30.15.38.24</mirrorrepository>
		<nexthigherunit>8JMKD3MGPEW34M/46SG4TH</nexthigherunit>
		<nexthigherunit>8JMKD3MGPEW34M/4742MCS</nexthigherunit>
		<citingitemlist>sid.inpe.br/sibgrapi/2022/05.14.04.55 6</citingitemlist>
		<hostcollection>sid.inpe.br/banon/2001/03.30.15.38</hostcollection>
		<lasthostcollection>sid.inpe.br/banon/2001/03.30.15.38</lasthostcollection>
		<url>http://sibgrapi.sid.inpe.br/rep-/sid.inpe.br/sibgrapi@80/2008/07.17.15.53</url>
	</metadata>
</metadatalist>