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1. Identity statement
Reference TypeConference Paper (Conference Proceedings)
Sitesibgrapi.sid.inpe.br
Holder Codeibi 8JMKD3MGPEW34M/46T9EHH
Identifier6qtX3pFwXQZeBBx/GJRvR
Repositorysid.inpe.br/banon/2005/07.12.21.38
Last Update2005:07.12.03.00.00 (UTC) administrator
Metadata Repositorysid.inpe.br/banon/2005/07.12.21.38.29
Metadata Last Update2022:06.14.00.12.59 (UTC) administrator
DOI10.1109/SIBGRAPI.2005.43
Citation KeyAcevedoRued:2005:ReInCo
TitleReduction of interband correlation for Landsat image compression.
FormatOn-line
Year2005
Access Date2024, Apr. 27
Number of Files1
Size454 KiB
2. Context
Author1 Acevedo, Daniel Germán
2 Ruedin, Ana María Clara
Affiliation1 University of Buenos Aires
EditorRodrigues, Maria Andréia Formico
Frery, Alejandro César
e-Mail Addressdacevedo@dc.uba.ar
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)2008-07-17 14:11:00 :: daniel -> banon ::
2008-08-26 15:17:02 :: banon -> administrator ::
2009-08-13 20:37:49 :: 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
KeywordsMultispectral satellite image
correlation
wavelet
lossless compression
AbstractWe present a lossless compressor for multispectral images that exploits interband correlations. Each band is divided into blocks, to which a wavelet transform is applied. The wavelet coefficients are predicted by means of a linear combination of coefficients belonging to the same orientation and spatial location. The prediction errors are then encoded with an entropy - based coder. Our original contributions are i) the inclusion, among the candidates for prediction, of coefficients of the same location from other spectral bands, ii) the calculation of weights tuned to the landscape being processed, iii) a fast block classification and a different band-ordering for each landscape. Our compressor reduces the size of an image to about a fourth of its original size. Our method is equivalent to LOCO-I, on 3 of the images tested it was superior. It is superior to other lossless compressors: WinZip, JPEG2000 and PNG.
Arrangement 1urlib.net > SDLA > Fonds > SIBGRAPI 2005 > Reduction of interband...
Arrangement 2urlib.net > SDLA > Fonds > Full Index > Reduction of interband...
doc Directory Contentaccess
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4. Conditions of access and use
data URLhttp://urlib.net/ibi/6qtX3pFwXQZeBBx/GJRvR
zipped data URLhttp://urlib.net/zip/6qtX3pFwXQZeBBx/GJRvR
Languageen
Target Fileacevedod_lsatcompression.pdf
User Groupdaniel
administrator
Visibilityshown
5. Allied materials
Next Higher Units8JMKD3MGPEW34M/46R3ED5
8JMKD3MGPEW34M/4742MCS
Citing Item Listsid.inpe.br/sibgrapi/2022/05.05.04.08 10
sid.inpe.br/banon/2001/03.30.15.38.24 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


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