Image coding using adaptive recursive interpolative DPCM

Eric A. Gifford, Bobby R. Hunt, Michael W Marcellin

Research output: Contribution to journalArticle

13 Citations (Scopus)

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 (SNR's) in the range of those provided by the most advanced transform coders.

Original languageEnglish (US)
Pages (from-to)1061-1069
Number of pages9
JournalIEEE Transactions on Image Processing
Volume4
Issue number8
DOIs
StatePublished - Aug 1995

Fingerprint

Image Coding
Image coding
Signal to noise ratio
Entropy
Optimal Rates
Quantization
Transform
Range of data

ASJC Scopus subject areas

  • Computational Theory and Mathematics
  • Computer Graphics and Computer-Aided Design
  • Computer Vision and Pattern Recognition
  • Software
  • Electrical and Electronic Engineering
  • Theoretical Computer Science

Cite this

Image coding using adaptive recursive interpolative DPCM. / Gifford, Eric A.; Hunt, Bobby R.; Marcellin, Michael W.

In: IEEE Transactions on Image Processing, Vol. 4, No. 8, 08.1995, p. 1061-1069.

Research output: Contribution to journalArticle

Gifford, Eric A. ; Hunt, Bobby R. ; Marcellin, Michael W. / Image coding using adaptive recursive interpolative DPCM. In: IEEE Transactions on Image Processing. 1995 ; Vol. 4, No. 8. pp. 1061-1069.
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