Quadtree classification and TCQ image coding

  • Authors:
  • B. A. Banister;T. R. Fischer

  • Affiliations:
  • Sch. of Electr. Eng. & Comput. Sci., Washington State Univ., Pullman, WA;-

  • Venue:
  • IEEE Transactions on Circuits and Systems for Video Technology
  • Year:
  • 2001

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Abstract

The set partitioning in hierarchical trees (SPIHT) wavelet image coding algorithm can be interpreted as implicitly using classification in its bit-plane coding procedure. The source distribution induced by this classification is studied and rate-distortion performance is evaluated. A quadtree sorting procedure, similar to SPIHT, is used to explicitly form classes of wavelet coefficients. The classes are encoded using arithmetic and trellis-coded quantization. The resulting encoding algorithm offers consistent improvement over SPIHT performance due to the granular gain of the trellis code