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|Title:||Hierarchical segmentation-based image coding using hybrid quad-binary trees|
|Authors:||Kassim, A.A. |
|Citation:||Kassim, 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|
|Abstract:||A 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.|
|Source Title:||IEEE Transactions on Image Processing|
|Appears in Collections:||Staff Publications|
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