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https://doi.org/10.1109/TIP.2009.2017339
| Title: | Hierarchical segmentation-based image coding using hybrid quad-binary trees | Authors: | Kassim, A.A. Lee, W.S. Zonoobi, D. |
Keywords: | Beamlets Binary space-partitioning Image coding Platelets Quadtrees Segmentation Wedgelets |
Issue Date: | 2009 | 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 | URI: | http://scholarbank.nus.edu.sg/handle/10635/56184 | ISSN: | 10577149 | DOI: | 10.1109/TIP.2009.2017339 |
| Appears in Collections: | Staff Publications |
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