Image coding using adaptive recursive interpolative DPCM with entropy-constrained trellis coded quantization

E. A. Gifford, B. R. Hunt, M. W. Marcellin

Research output: Contribution to journalArticle

Abstract

A predictive image coder having minimal decoder complexity is presented. The image coder utilizes recursive interpolative DPCM in conjunction with adaptive classification, entropy-constrained trellis coded quantization, and optimal rate allocation to obtain signal-to-noise ratios in the range of the most advanced transform coders.

Original languageEnglish (US)
Article number389483
Pages (from-to)V257-V260
JournalICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings
Volume5
StatePublished - Jan 1 1994

ASJC Scopus subject areas

  • Software
  • Signal Processing
  • Electrical and Electronic Engineering

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