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Efficient quadtree coding of images and video.

G J Sullivan1, R L Baker

  • 1PictureTel Corp., Danvers, MA.

IEEE Transactions on Image Processing : a Publication of the IEEE Signal Processing Society
|January 1, 1994
PubMed
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This study introduces an optimal quadtree construction method for image coding. It efficiently allocates quantizers to image regions, improving video compression performance.

Area of Science:

  • Computer Science
  • Image Processing
  • Data Structures

Background:

  • Quadtree data structures are vital for image coding, enabling adaptive quantization across spatial regions.
  • Optimal rate allocation is crucial for efficient image and video compression techniques.

Purpose of the Study:

  • To develop a theory for constructing quadtrees that optimally allocate rate for a given set of quantizers.
  • To introduce a novel quadtree construction method for enhanced image and video coding systems.

Main Methods:

  • Utilizing a Lagrange multiplier method for optimal rate allocation without monotonicity constraints.
  • Implementing a stepwise search algorithm for identifying the optimal quadtree structure.
  • Driving the search with measured or predicted quantizer performance data.

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Main Results:

  • A new quadtree construction method derived from optimal rate allocation theory.
  • Demonstrated application in a motion-compensated interframe video coding system.
  • Achieved efficient adaptive quantization through optimal quadtree decomposition.

Conclusions:

  • The proposed quadtree construction theory enables optimal rate allocation for adaptive quantization.
  • The stepwise search method provides an efficient approach to finding optimal quadtree structures.
  • This methodology enhances performance in video coding systems, particularly with vector quantization.