Hierarchical segmentation-based image coding using hybrid quad-binary trees

  • Authors:
  • Ashraf A. Kassim;Wei Siong Lee;Dornoosh Zonoobi

  • Affiliations:
  • Electrical and Computer Engineering Department, National University of Singapore, Singapore;Electrical and Computer Engineering Department, National University of Singapore, Singapore;Electrical and Computer Engineering Department, National University of Singapore, Singapore

  • Venue:
  • IEEE Transactions on Image Processing
  • Year:
  • 2009

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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.