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Article: Analysis of the DCT coefficient distributions for document coding

TitleAnalysis of the DCT coefficient distributions for document coding
Authors
Lam, EY
KeywordsDiscrete cosine transform (DCT)
Document processing
Image analysis
Image coding
Probability statistics
Issue Date2004
PublisherI E E E. The Journal's web site is located at http://ieeexplore.ieee.org/xpl/RecentIssue.jsp?punumber=97
Citation
Ieee Signal Processing Letters, 2004, v. 11 n. 2 PART I, p. 97-100 How to Cite?
DOI: http://dx.doi.org/10.1109/LSP.2003.821789
AbstractIt is known that the distribution of the discrete cosine transform (DCT) coefficients of most natural images follow a Laplacian distribution, and this knowledge has been employed to improve decoder design. However, such is not the case for text documents. In this letter, we present an analysis of their DCT coefficient distributions, and show that a Gaussian distribution can be a realistic model. Furthermore, we can use a generalized Gaussian model to incorporate the Laplacian distribution found for natural images.
Persistent Identifierhttp://hdl.handle.net/10722/42950
ISSN
1070-9908
2023 Impact Factor: 3.2
2023 SCImago Journal Rankings: 1.271
ISI Accession Number ID
WOS:000188369600010
References
References in Scopus

 

DC FieldValueLanguage
dc.contributor.authorLam, EYen_HK
dc.date.accessioned2007-03-23T04:35:19Z-
dc.date.available2007-03-23T04:35:19Z-
dc.date.issued2004en_HK
dc.identifier.citationIeee Signal Processing Letters, 2004, v. 11 n. 2 PART I, p. 97-100en_HK
dc.identifier.issn1070-9908en_HK
dc.identifier.urihttp://hdl.handle.net/10722/42950-
dc.description.abstractIt is known that the distribution of the discrete cosine transform (DCT) coefficients of most natural images follow a Laplacian distribution, and this knowledge has been employed to improve decoder design. However, such is not the case for text documents. In this letter, we present an analysis of their DCT coefficient distributions, and show that a Gaussian distribution can be a realistic model. Furthermore, we can use a generalized Gaussian model to incorporate the Laplacian distribution found for natural images.en_HK
dc.format.extent353383 bytes-
dc.format.extent25600 bytes-
dc.format.mimetypeapplication/pdf-
dc.format.mimetypeapplication/msword-
dc.languageengen_HK
dc.publisherI E E E. The Journal's web site is located at http://ieeexplore.ieee.org/xpl/RecentIssue.jsp?punumber=97en_HK
dc.relation.ispartofIEEE Signal Processing Lettersen_HK
dc.rights©2004 IEEE. Personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution to servers or lists, or to reuse any copyrighted component of this work in other works must be obtained from the IEEE.-
dc.subjectDiscrete cosine transform (DCT)en_HK
dc.subjectDocument processingen_HK
dc.subjectImage analysisen_HK
dc.subjectImage codingen_HK
dc.subjectProbability statisticsen_HK
dc.titleAnalysis of the DCT coefficient distributions for document codingen_HK
dc.typeArticleen_HK
dc.identifier.openurlhttp://library.hku.hk:4550/resserv?sid=HKU:IR&issn=1070-9908&volume=11&issue=2 pt 1&spage=97&epage=100&date=2004&atitle=Analysis+of+the+DCT+coefficient+distributions+for+document+codingen_HK
dc.identifier.emailLam, EY:elam@eee.hku.hken_HK
dc.identifier.authorityLam, EY=rp00131en_HK
dc.description.naturepublished_or_final_versionen_HK
dc.identifier.doi10.1109/LSP.2003.821789en_HK
dc.identifier.scopuseid_2-s2.0-0442279698en_HK
dc.identifier.hkuros88828-
dc.relation.referenceshttp://www.scopus.com/mlt/select.url?eid=2-s2.0-0442279698&selection=ref&src=s&origin=recordpageen_HK
dc.identifier.volume11en_HK
dc.identifier.issue2 PART Ien_HK
dc.identifier.spage97en_HK
dc.identifier.epage100en_HK
dc.identifier.isiWOS:000188369600010-
dc.publisher.placeUnited Statesen_HK
dc.identifier.scopusauthoridLam, EY=7102890004en_HK
dc.identifier.issnl1070-9908-

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