Performance of Entropy-Constrained Block Transform Quantizers

N. Farvardin, F. Y. Lin

Research output: Contribution to journalArticlepeer-review

10 Scopus citations

Abstract

An analysis of the rate-distortion performance of an entropy-constrained block transform quantization scheme operating on first-order stationary Gauss-Markov sources is presented. Uniform threshold quantization is employed to quantize the transform coefficients. An algorithm for optimum stepsize (or, equivalently, entropy) assignment among the quantizers is developed and a simple asymptotic formula indicating the high-rate performance of the block transform quantization scheme is presented. Finally, specific results determining the rate-distortion performance of the entropy-constrained block transform quantization scheme operating upon first-order Gauss-Markov sources are presented and comparisons with the Huang and Schultheiss block transform quantization, vector quantization, and predictive quantization are rendered.

Original languageEnglish
Pages (from-to)1433-1439
Number of pages7
JournalIEEE Transactions on Information Theory
Volume37
Issue number5
DOIs
StatePublished - Sep 1991

Keywords

  • Gauss-Markov source
  • Quantization
  • distortion
  • entropy
  • orthogonal transform
  • rate
  • vector quantization

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