DocumentCode
754040
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
Volume
18
Issue
6
fYear
2009
fDate
6/1/2009 12:00:00 AM
Firstpage
1284
Lastpage
1291
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;
fLanguage
English
Journal_Title
Image Processing, IEEE Transactions on
Publisher
ieee
ISSN
1057-7149
Type
jour
DOI
10.1109/TIP.2009.2017339
Filename
4840548
Link To Document