| 1. Identity statement | |
| Reference Type | Conference Paper (Conference Proceedings) |
| Site | sibgrapi.sid.inpe.br |
| Holder Code | ibi 8JMKD3MGPEW34M/46T9EHH |
| Identifier | 6qtX3pFwXQZG2LgkFdY/RvDUS |
| Repository | sid.inpe.br/sibgrapi@80/2007/09.20.01.12 |
| Last Update | 2007:09.20.01.12.05 (UTC) administrator |
| Metadata Repository | sid.inpe.br/sibgrapi@80/2007/09.20.01.12.06 |
| Metadata Last Update | 2022:05.18.22.21.15 (UTC) administrator |
| Citation Key | HomemMartMasc:2007:SuImRe |
| Title | Super-Resolution Image Reconstruction using the Discontinuity Adaptive ICM  |
| Format | On-line |
| Year | 2007 |
| Access Date | 2025, July 07 |
| Number of Files | 1 |
| Size | 87 KiB |
| 2. Context | |
| Author | 1 Homem, Murillo Rodrigo Petrucelli 2 Martins, Ana Luísa Dine 3 Mascarenhas, Nelson Delfino d'Ávila |
| Affiliation | 1 Departamento de Computação, Universidade Federal de São Carlos 2 Departamento de Computação, Universidade Federal de São Carlos 3 Departamento de Computação, Universidade Federal de São Carlos |
| Editor | Gonçalves, Luiz Wu, Shin Ting |
| Conference Name | Brazilian Symposium on Computer Graphics and Image Processing, 20 (SIBGRAPI) |
| Conference Location | Belo Horizonte, MG, Brazil |
| Date | 7-10 Oct. 2007 |
| Publisher | Sociedade Brasileira de Computação |
| Publisher City | Porto Alegre |
| Book Title | Proceedings |
| Tertiary Type | Technical Poster |
| History (UTC) | 2008-07-17 14:09:45 :: murillo_rodrigo@dc.ufscar.br -> administrator :: 2009-08-13 20:38:41 :: administrator -> banon :: 2010-08-28 20:02:32 :: banon -> administrator :: 2022-05-18 22:21:15 :: administrator -> :: 2007 |
| 3. Content and structure | |
| Is the master or a copy? | is the master |
| Content Stage | completed |
| Transferable | 1 |
| Keywords | Super resolution image reconstruction sub-pixel image registration |
| Abstract | We propose a Bayesian approach for the super resolution image reconstruction (SRIR) problem using a Markov random field (MRF) for image characterization. SRIR consists in using a set of low-resolution (LR) images from the same scene to generate a high-resolution (HR) estimate of the original object. Using a Bayesian formulation, it is possible to incorporate previously known spatial information about the HR image to be estimated. In our approach, the iterated conditional modes (ICM) algorithm is used to find the maximum a posteriori (MAP) solution, and a discontinuity adaptive framework is used to overcome the oversmoothness inherent to MAP-MRF formulations. To evaluate the capability of the algorithm in reconstructing the actual image, we used the universal image quality index (UIQI). According to this index, the proposed method produced accurate results. |
| Arrangement | urlib.net > SDLA > Fonds > SIBGRAPI 2007 > Super-Resolution Image Reconstruction... |
| doc Directory Content | access |
| source Directory Content | there are no files |
| agreement Directory Content | there are no files |
| 4. Conditions of access and use | |
| data URL | http://urlib.net/ibi/6qtX3pFwXQZG2LgkFdY/RvDUS |
| zipped data URL | http://urlib.net/zip/6qtX3pFwXQZG2LgkFdY/RvDUS |
| Language | en |
| Target File | icm-mrph.pdf |
| User Group | murillo_rodrigo@dc.ufscar.br administrator |
| Visibility | shown |
| 5. Allied materials | |
| Mirror Repository | sid.inpe.br/sibgrapi@80/2007/08.02.16.22 |
| Next Higher Units | 8JMKD3MGPEW34M/46SF8Q5 |
| Citing Item List | sid.inpe.br/sibgrapi/2022/05.14.00.14 35 |
| Host Collection | sid.inpe.br/banon/2001/03.30.15.38 |
| 6. Notes | |
| Empty Fields | archivingpolicy archivist area callnumber contenttype copyholder copyright creatorhistory descriptionlevel dissemination documentstage doi e-mailaddress 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 |