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1. Identity statement
Reference TypeConference Paper (Conference Proceedings)
Sitesibgrapi.sid.inpe.br
Holder Codeibi 8JMKD3MGPEW34M/46T9EHH
Identifier83LX3pFwXQZW44Lb/doSGr
Repositorydpi.inpe.br/ambro/1998/06.08.09.04
Last Update1998:06.16.03.00.00 (UTC) administrator
Metadata Repositorysid.inpe.br/banon/2001/03.30.15.57.07
Metadata Last Update2022:06.14.00.17.01 (UTC) administrator
Citation KeyChiouFerrSilvKauf:1997:WaEnAn
TitleWavelet and entropy analysis combination to evaluate diffusion and correlation behaviors
Year1997
Access Date2024, May 03
Number of Files1
Size141 KiB
2. Context
Author1 Chiou, Rui Chuo Huei
2 Ferreira, Maria Alice Grigas Varella
3 Silva, Claudio T.
4 Kaufman, Arie E.
EditorFigueiredo, Luiz Henrique de
Netto, Marcio Lobo
Conference NameBrazilian Symposium on Computer Graphics and Image Processing, 10 (SIBGRAPI)
Conference LocationCampos de Jordão, SP, Brazil
DateOct. 1997
PublisherIEEE Computer Society
Publisher CityLos Alamitos
Pages119-125
Book TitleProceedings
Tertiary TypeFull Paper
OrganizationSBC - Sociedade Brasileira de Computação; USP - Universidade de São Paulo
History (UTC)2008-07-17 14:17:58 :: administrator -> banon ::
2008-08-26 15:26:30 :: banon -> administrator ::
2009-08-13 20:36:15 :: administrator -> banon ::
2010-08-28 20:04:53 :: banon -> administrator ::
2022-06-14 00:17:01 :: administrator -> :: 1997
3. Content and structure
Is the master or a copy?is the master
Content Stagecompleted
Transferable1
Version Typefinaldraft
AbstractDiffusion and correlation effects are two principal phenomena which have been studied for years and several visualization techniques have been proposed to help scientists to understand them. The analysis of these phenomena will help to extract important information from data sets. To understand these problems we combine wavelet and entropy analysis to evaluate the evolution of these behaviors through scale and time. We present image case studies to show several different kinds of behaviors of these effects. Some of them are fallible cases and not reliable, as the images do not show the desired information. We calculate entropy of smooth and detail coefficient sets, generated by wavelet transform of these sample images in each scale, to obtain measures that allow us to evaluate these behaviors according to the organization complexity. These measures can provide an indication about the quality of the rendered images.
Arrangement 1urlib.net > SDLA > Fonds > SIBGRAPI 1997 > Wavelet and entropy...
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4. Conditions of access and use
data URLhttp://urlib.net/ibi/83LX3pFwXQZW44Lb/doSGr
zipped data URLhttp://urlib.net/zip/83LX3pFwXQZW44Lb/doSGr
Languageen
Target Fileart65.pdf
User Groupadministrator
Visibilityshown
5. Allied materials
Next Higher Units8JMKD3MGPEW34M/46RL7SS
8JMKD3MGPEW34M/4742MCS
Citing Item Listsid.inpe.br/sibgrapi/2022/05.08.23.46 6
Host Collectionsid.inpe.br/banon/2001/03.30.15.38
6. Notes
NotesThe conference was held in Campos de Jordão, SP, Brazil, from October 13 to 16.
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