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Hierarchical Segmentation-Based Image Coding Using Hybrid Quad-Binary Trees

delete2009-06-01
delete14
PRE
AI
A
Ashraf A. Kassim *
W
Wei Siong Lee
D
Dornoosh Zonoobi
DOI:10.1109/TIP.2009.2017339delete
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Abstract

Abstract

En 中文
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:
Beamlets
binary space-partitioning
image coding
platelets
quadtrees
segmentation
wedgelets
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Journal

IEEE Transactions on Image Processing cover
IEEE Transactions on Image Processing
IF:
13.7
Papers:
1.0W
Citations:
8.4W

Organization

N
National University of Singapore
Scholars:
7.5W
Papers: 6.5W
Citations: 11.4W