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

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

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 journal › Article › peer-review

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 language	English (US)
Article number	389483
Pages (from-to)	V257-V260
Journal	ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings
Volume	5
State	Published - 1994

ASJC Scopus subject areas

Software
Signal Processing
Electrical and Electronic Engineering

Cite this

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title = "Image coding using adaptive recursive interpolative DPCM with entropy-constrained trellis coded quantization",

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.",

author = "Gifford, {E. A.} and Hunt, {B. R.} and Marcellin, {M. W.}",

year = "1994",

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SN - 1520-6149

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JO - ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings

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M1 - 389483

ER -

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

Abstract

ASJC Scopus subject areas

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