Close
Metadata

1. Identity statement
Reference TypeConference Paper (Conference Proceedings)
Sitesibgrapi.sid.inpe.br
Holder Codeibi 8JMKD3MGPEW34M/46T9EHH
Identifier8JMKD3MGPAW/3PJQBDS
Repositorysid.inpe.br/sibgrapi/2017/09.09.02.55
Last Update2017:09.09.02.55.51 (UTC) administrator
Metadata Repositorysid.inpe.br/sibgrapi/2017/09.09.02.55.51
Metadata Last Update2022:05.18.22.18.25 (UTC) administrator
Citation KeyNacifFern:2017:MuSuPa
TitleMulti-Frame super-resolução a partir de uma única imagem por estereoscopia
FormatOn-line
Year2017
Access Date2024, Oct. 15
Number of Files1
Size851 KiB
2. Context
Author1 Nacif, Felippe Leitão
2 Fernandes, Leandro Augusto Frata
Affiliation1 Universidade Federal Fluminense
2 Universidade Federal Fluminense
EditorTorchelsen, Rafael Piccin
Nascimento, Erickson Rangel do
Panozzo, Daniele
Liu, Zicheng
Farias, Mylène
Viera, Thales
Sacht, Leonardo
Ferreira, Nivan
Comba, João Luiz Dihl
Hirata, Nina
Schiavon Porto, Marcelo
Vital, Creto
Pagot, Christian Azambuja
Petronetto, Fabiano
Clua, Esteban
Cardeal, Flávio
e-Mail Addressfelippenacif@id.uff.br
Conference NameConference on Graphics, Patterns and Images, 30 (SIBGRAPI)
Conference LocationNiterói, RJ, Brazil
Date17-20 Oct. 2017
PublisherSociedade Brasileira de Computação
Publisher CityPorto Alegre
Book TitleProceedings
Tertiary TypeUndergraduate Work
History (UTC)2017-09-09 02:55:51 :: felippenacif@id.uff.br -> administrator ::
2022-05-18 22:18:25 :: administrator -> :: 2017
3. Content and structure
Is the master or a copy?is the master
Content Stagecompleted
Transferable1
Keywordssuper-resolução
lentes estereoscópicas
iterative back projection
AbstractSuper-resolution (SR) is a set of techniques that estimates a high-resolution (HR) image from one or more low-resolution (LR) images. Single-frame SR usually relies on learn-based methods to enhance a LR image. Multi-frame SR, on the other hand, may not assume previous knowledge of the scene and use information extracted from multiple LR images taken from slightly different viewpoints to estimate a HR view. We present a multi-frame SR approach that uses a stereoscopic camera lens attachment to capture two overlapped views of the scene at the same time with the same image sensor. We adapt the classic Iterative Back Projection (IBP) SR algorithm to estimate a SR color image from two color LR views. We virtually modeled the proposed lens attachment and demonstrate that, by using only two overlapped views, our approach achieves qualitatively better results than other multi-frame SR techniques.
Arrangementurlib.net > SDLA > Fonds > SIBGRAPI 2017 > Multi-Frame super-resolução a...
doc Directory Contentaccess
source Directory Contentthere are no files
agreement Directory Content
agreement.html 08/09/2017 23:55 1.2 KiB 
4. Conditions of access and use
data URLhttp://urlib.net/ibi/8JMKD3MGPAW/3PJQBDS
zipped data URLhttp://urlib.net/zip/8JMKD3MGPAW/3PJQBDS
Languagept
Target File2017___Nacif__Fernandes___SIBGRAPI___WUW.pdf
User Groupfelippenacif@id.uff.br
Visibilityshown
Update Permissionnot transferred
5. Allied materials
Mirror Repositorysid.inpe.br/banon/2001/03.30.15.38.24
Next Higher Units8JMKD3MGPAW/3PKCC58
Citing Item Listsid.inpe.br/sibgrapi/2017/09.12.13.04 29
Host Collectionsid.inpe.br/banon/2001/03.30.15.38
6. Notes
Empty Fieldsarchivingpolicy archivist area callnumber contenttype copyholder copyright creatorhistory descriptionlevel dissemination doi 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 versiontype volume


Close