Close

1. Identity statement
Reference TypeConference Paper (Conference Proceedings)
Sitesibgrapi.sid.inpe.br
Holder Codeibi 8JMKD3MGPEW34M/46T9EHH
Identifier6qtX3pFwXQZeBBx/GKpLx
Repositorysid.inpe.br/banon/2005/07.13.18.55
Last Update2005:07.13.03.00.00 (UTC) administrator
Metadata Repositorysid.inpe.br/banon/2005/07.13.18.55.30
Metadata Last Update2022:06.14.00.12.59 (UTC) administrator
DOI10.1109/SIBGRAPI.2005.42
Citation KeyBustosKim:2005:ImMaEn
TitleReconstruction-diffusion: An improved maximum entropy reconstruction algorithm based on the robust anisotropic diffusion
FormatOn-line
Year2005
Access Date2024, Apr. 27
Number of Files1
Size194 KiB
2. Context
Author1 Bustos, Harold Ivan Angulo
2 Kim, Hae Yong
Affiliation1 Universidade Federal do Rio Grande do Norte
2 Universidade de São Paulo
EditorRodrigues, Maria Andréia Formico
Frery, Alejandro César
e-Mail Addressharold@dca.ufrn.br; hae@lps.usp.br
Conference NameBrazilian Symposium on Computer Graphics and Image Processing, 18 (SIBGRAPI)
Conference LocationNatal, RN, Brazil
Date9-12 Oct. 2005
PublisherIEEE Computer Society
Publisher CityLos Alamitos
Book TitleProceedings
Tertiary TypeFull Paper
History (UTC)2005-07-13 18:55:31 :: Harold -> banon ::
2005-07-13 19:31:27 :: banon -> Harold ::
2008-07-17 14:11:00 :: Harold -> banon ::
2008-08-26 15:17:02 :: banon -> administrator ::
2009-08-13 20:37:50 :: administrator -> banon ::
2010-08-28 20:01:18 :: banon -> administrator ::
2022-06-14 00:12:59 :: administrator -> :: 2005
3. Content and structure
Is the master or a copy?is the master
Content Stagecompleted
Transferable1
Version Typefinaldraft
KeywordsMaximum Entropy
Robust Anisotropic Diffusion
Tomography
AbstractMaximum entropy (MENT) is a well-known image reconstruction algorithm. If only a small amount of acquisition data is available, this algorithm converges to a noisy and blurry image. We propose an improvement to this algorithm that consists on applying alternately the MENT reconstruction and the robust anisotropic diffusion (RAD). We have tested this idea for the re-construction from full-angle parallel acquisition data, but the idea can be applied to any data acquisition sce-nario. The new technique has yielded surprisingly clear images with sharp edges even using extremely small amount of projection data.
Arrangement 1urlib.net > SDLA > Fonds > SIBGRAPI 2005 > Reconstruction-diffusion: An improved...
Arrangement 2urlib.net > SDLA > Fonds > Full Index > Reconstruction-diffusion: An improved...
doc Directory Contentaccess
source Directory Contentthere are no files
agreement Directory Contentthere are no files
4. Conditions of access and use
data URLhttp://urlib.net/ibi/6qtX3pFwXQZeBBx/GKpLx
zipped data URLhttp://urlib.net/zip/6qtX3pFwXQZeBBx/GKpLx
Languageen
Target Filebustosh_entropy.pdf
User GroupHarold
administrator
Visibilityshown
5. Allied materials
Next Higher Units8JMKD3MGPEW34M/46R3ED5
8JMKD3MGPEW34M/4742MCS
Citing Item Listsid.inpe.br/sibgrapi/2022/05.05.04.08 6
sid.inpe.br/banon/2001/03.30.15.38.24 2
sid.inpe.br/sibgrapi/2022/06.10.21.49 1
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 mirrorrepository 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


Close