Optimal bit allocation and best-basis selection for wavelet packets and TSVQ

Jill R. Goldschneider, Eve A. Riskin

Research output: Contribution to journalArticlepeer-review

6 Scopus citations

Abstract

To use wavelet packets for lossy data compression, the following issues must be addressed: quantization of the wavelet subbands, allocation of bits to each subband, and best-basis selection. We present an algorithm for wavelet packets that systematically identifies all bit allocations/best-basis selections on the lower convex hull of the rate-distortion curve. We demonstrate the algorithm on tree-structured vector quantizers used to code image subbands from the wavelet packet decomposition.

Original languageEnglish
Pages (from-to)1305-1309
Number of pages5
JournalIEEE Transactions on Image Processing
Volume8
Issue number9
DOIs
StatePublished - Sep 1999

Keywords

  • Best basis selection
  • Bit allocation
  • Compression
  • Tree-structured vector quantization
  • Wavelet packets

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