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Please use this identifier to cite or link to this item: https://doi.org/10.1109/TIP.2009.2017339
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dc.titleHierarchical segmentation-based image coding using hybrid quad-binary trees
dc.contributor.authorKassim, A.A.
dc.contributor.authorLee, W.S.
dc.contributor.authorZonoobi, D.
dc.date.accessioned2014-06-17T02:51:41Z
dc.date.available2014-06-17T02:51:41Z
dc.date.issued2009
dc.identifier.citationKassim, A.A., Lee, W.S., Zonoobi, D. (2009). Hierarchical segmentation-based image coding using hybrid quad-binary trees. IEEE Transactions on Image Processing 18 (6) : 1284-1291. ScholarBank@NUS Repository. https://doi.org/10.1109/TIP.2009.2017339
dc.identifier.issn10577149
dc.identifier.urihttp://scholarbank.nus.edu.sg/handle/10635/56184
dc.description.abstractA novel segmentation-based image approximation and coding technique is proposed. A hybrid quad-binary (QB) tree structure is utilized to efficiently model and code geometrical information within images. Compared to other tree-based representation such as wedgelets, the proposed QB-tree based method is more efficient for a wide range of contour features such as junctions, corners and ridges, especially at low bit rates. © 2009 IEEE.
dc.description.urihttp://libproxy1.nus.edu.sg/login?url=http://dx.doi.org/10.1109/TIP.2009.2017339
dc.sourceScopus
dc.subjectBeamlets
dc.subjectBinary space-partitioning
dc.subjectImage coding
dc.subjectPlatelets
dc.subjectQuadtrees
dc.subjectSegmentation
dc.subjectWedgelets
dc.typeArticle
dc.contributor.departmentELECTRICAL & COMPUTER ENGINEERING
dc.description.doi10.1109/TIP.2009.2017339
dc.description.sourcetitleIEEE Transactions on Image Processing
dc.description.volume18
dc.description.issue6
dc.description.page1284-1291
dc.description.codenIIPRE
dc.identifier.isiut000266163300011
Appears in Collections:Staff Publications

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