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1. Identity statement
Reference TypeConference Paper (Conference Proceedings)
Sitesibgrapi.sid.inpe.br
Holder Codeibi 8JMKD3MGPEW34M/46T9EHH
Identifier8JMKD3MGPBW34M/3A3CA2E
Repositorysid.inpe.br/sibgrapi/2011/07.09.03.11
Last Update2011:07.09.03.11.56 (UTC) administrator
Metadata Repositorysid.inpe.br/sibgrapi/2011/07.09.03.11.56
Metadata Last Update2022:06.14.00.07.12 (UTC) administrator
DOI10.1109/SIBGRAPI.2011.17
Citation KeyAguenaMasc:2011:GeItRe
TitleGeneralization of iterative restoration techniques for super-resolution
FormatDVD, On-line.
Year2011
Access Date2025, Mar. 21
Number of Files1
Size1250 KiB
2. Context
Author1 Aguena, Marcia Luciana Silva
2 Mascarenhas, Nelson Delfino d'Ávila
Affiliation1 Departamento de Computação UFSCar - Universidade Federal de São Carlos
2 Departamento de Computação UFSCar - Universidade Federal de São Carlos
EditorLewiner, Thomas
Torres, Ricardo
e-Mail Addressaguena@dc.ufscar.br
Conference NameConference on Graphics, Patterns and Images, 24 (SIBGRAPI)
Conference LocationMaceió, AL, Brazil
Date28-31 Aug. 2011
PublisherIEEE Computer Society
Publisher CityLos Alamitos
Book TitleProceedings
Tertiary TypeFull Paper
History (UTC)2011-07-23 15:36:12 :: aguena@dc.ufscar.br -> administrator :: 2011
2022-06-14 00:07:12 :: administrator -> :: 2011
3. Content and structure
Is the master or a copy?is the master
Content Stagecompleted
Transferable1
Version Typefinaldraft
Keywordssuper-resolution
image restoration
restoration
iterative back-projection
AbstractThe resolution enhancement of an image is always desirable, for almost all situations, but mainly if the image has the purpose of visual analysis. The hardware development for increasing the image resolution at its capture still has a higher cost than the algorithm solutions for super-resolution (SR). Like image restoration, super-resolution is also an ill-conditioned inverse problem. This work analyses the iterative restoration methods (Van Cittert, Tikhonov-Miller and Conjugate Gradient) which propose solutions for the ill-conditioning problem and compares them with the IBP method (Iterative Back Projection) proposed by Irani-Peleg [1] and Komatsu et al. [2]. The analysis of the found similarities is the basis of a generalization, that other iterative restoration methods can have their properties adapted, such as regularization of the ill-conditioning, noise reduction and other degradations and the increase of the convergence rate can be incorporated to the techniques of super-resolution.
Arrangement 1urlib.net > SDLA > Fonds > SIBGRAPI 2011 > Generalization of iterative...
Arrangement 2urlib.net > SDLA > Fonds > Full Index > Generalization of iterative...
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4. Conditions of access and use
data URLhttp://urlib.net/ibi/8JMKD3MGPBW34M/3A3CA2E
zipped data URLhttp://urlib.net/zip/8JMKD3MGPBW34M/3A3CA2E
Languageen
Target File86913.pdf
User Groupaguena@dc.ufscar.br
Visibilityshown
5. Allied materials
Mirror Repositorysid.inpe.br/banon/2001/03.30.15.38.24
Next Higher Units8JMKD3MGPEW34M/46SKNPE
8JMKD3MGPEW34M/4742MCS
Citing Item Listsid.inpe.br/sibgrapi/2022/05.15.00.56 36
sid.inpe.br/sibgrapi/2022/06.10.21.49 5
Host Collectionsid.inpe.br/banon/2001/03.30.15.38
6. Notes
Empty Fieldsarchivingpolicy archivist area callnumber contenttype copyholder copyright creatorhistory descriptionlevel dissemination documentstage edition electronicmailaddress group isbn issn label lineage mark nextedition notes numberofvolumes orcid organization pages parameterlist parentrepositories previousedition previouslowerunit progress project readergroup readpermission resumeid rightsholder schedulinginformation secondarydate secondarykey secondarymark secondarytype serieseditor session shorttitle sponsor subject tertiarymark type url volume


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