Universal TCQ in wavelet image coding

James H. Kasner, Michael W. Marcellin, B. R. Hunt

Research output: Contribution to journalConference articlepeer-review

3 Scopus citations


The discrete wavelet transform has emerged as a powerful tool for the lossy compression of imagery. In this work, an adaptive still-image wavelet coder is presented. The coder is based on a variant of entropy-constrained trellis coded quantization (ECTCQ). This new form of ECTCQ is called universal trellis coded quantization (UTCQ) and offers several advantages over previous versions of ECTCQ, including no computationally expensive training algorithm, and no stored codebooks. Perceptual coding improvements of the UTCQ coding system are presented as well.

Original languageEnglish (US)
Pages (from-to)1279-1283
Number of pages5
JournalConference Record of the Asilomar Conference on Signals, Systems and Computers
StatePublished - 1997
EventProceedings of the 1996 30th Asilomar Conference on Signals, Systems & Computers. Part 2 (of 2) - Pacific Grove, CA, USA
Duration: Nov 3 1996Nov 6 1996

ASJC Scopus subject areas

  • Signal Processing
  • Computer Networks and Communications


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