Title :
Hierarchical Segmentation-Based Image Coding Using Hybrid Quad-Binary Trees
Author :
Kassim, Ashraf A. ; Lee, Wei Siong ; Zonoobi, Dornoosh
Author_Institution :
Electr. & Comput. Eng. Dept., Nat. Univ. of Singapore, Singapore
fDate :
6/1/2009 12:00:00 AM
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.
Keywords :
approximation theory; binary codes; image coding; image segmentation; quadtrees; code geometrical information; hierarchical image segmentation; hybrid quad-binary trees; image approximation; image coding; Beamlets; binary space-partitioning; image coding; platelets; quadtrees; segmentation; wedgelets;
Journal_Title :
Image Processing, IEEE Transactions on
DOI :
10.1109/TIP.2009.2017339
