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dc.contributor.advisorZhuang, Xinhuaeng
dc.contributor.advisorHe, Zhihai, 1973-eng
dc.contributor.authorZhang, Cheng, 1985-eng
dc.date.issued2010eng
dc.date.submitted2010 Falleng
dc.descriptionThe entire thesis text is included in the research.pdf file; the official abstract appears in the short.pdf file; a non-technical public abstract appears in the public.pdf file.eng
dc.descriptionTitle from PDF of title page (University of Missouri--Columbia, viewed on April 29, 2011).eng
dc.descriptionThesis advisors: Dr. Xinhua Zhuang and Dr. Zhihai He.eng
dc.descriptionIncludes bibliographical references.eng
dc.descriptionM. S. University of Missouri-Columbia 2010.eng
dc.descriptionDissertations, Academic -- University of Missouri--Columbia -- Electrical engineering.eng
dc.description.abstract[ACCESS RESTRICTED TO THE UNIVERSITY OF MISSOURI AT AUTHOR'S REQUEST.] The Significance-Linked Connected Component Analysis+ (SLCCA+) is a efficient wavelet image coding algorithm that extends SLCCA by using new data organization and representation (DOR) and SLCCA+ use a definition of context model for the adaptive arithmetic coding. Extensive computer experiments on both natural and texture images show convincingly that the proposed SLCCA+ outperforms SLCCA. For example, for the Lena image, at 0.1 bit/pixel, SLCCA+ outperforms SLCCA by 0.1 dB in PSNR. This outstanding performance is achieved without using any optimal bit allocation procedure. Thus both the encoding and decoding procedures are fast.eng
dc.format.extentvii, 37 pageseng
dc.identifier.merlinb82286309eng
dc.identifier.oclc717630439eng
dc.identifier.urihttps://hdl.handle.net/10355/10659
dc.identifier.urihttps://doi.org/10.32469/10355/10659eng
dc.languageEnglisheng
dc.publisherUniversity of Missouri-Columbiaeng
dc.relation.ispartof2010 MU restricted theses (MU)eng
dc.relation.ispartofcommunityUniversity of Missouri-Columbia. Graduate School. Theses and Dissertations. Theses. 2010 Theseseng
dc.rightsAccess is limited to the campus of the University of Missouri--Columbia.eng
dc.subject.lcshWave guideseng
dc.subject.lcshImage processingeng
dc.subject.lcshImage compressioneng
dc.subject.lcshVideo compressioneng
dc.subject.lcshCoding theoryeng
dc.titleSignificance-linked connected component analysis+ for wavelet image codingeng
dc.typeThesiseng
thesis.degree.disciplineElectrical engineering (MU)eng
thesis.degree.grantorUniversity of Missouri--Columbiaeng
thesis.degree.levelMasterseng
thesis.degree.nameM.S.eng


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