Image Coding Using Adaptive Recursive Interpolative DPCM

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

doi:10.1109/83.403413

Image Coding Using Adaptive Recursive Interpolative DPCM

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

Research output: Contribution to journal › Article › peer-review

13 Scopus citations

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 language	English (US)
Pages (from-to)	1061-1069
Number of pages	9
Journal	IEEE Transactions on Image Processing
Volume	4
Issue number	8
DOIs	https://doi.org/10.1109/83.403413
State	Published - Aug 1995

ASJC Scopus subject areas

Software
Computer Graphics and Computer-Aided Design

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10.1109/83.403413

Cite this

@article{da9dfc59dc7f445bb0311ba9620032aa,

title = "Image Coding Using Adaptive Recursive Interpolative DPCM",

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.",

author = "Gifford, \{Eric A.\} and Hunt, \{Bobby R.\} and Marcellin, \{Michael W.\}",

note = "Funding Information: Manuscript received April 6, 1994; revised September 5, 1994. This work was supported by SAIC and by the National Science Foundation under Grant no. NCR-9258374. Portions of this work were presented at the 1994 IEEE International Conference on Acoustics, Speech, and Signal Processing, Adelaide, Australia, April 1994. The associate editor coordinating the review of this paper and approving it for publication was Prof. Nikolas P. Galatsanos.",

year = "1995",

month = aug,

doi = "10.1109/83.403413",

language = "English (US)",

volume = "4",

pages = "1061--1069",

journal = "IEEE Transactions on Image Processing",

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publisher = "Institute of Electrical and Electronics Engineers Inc.",

number = "8",

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AU - Gifford, Eric A.

AU - Hunt, Bobby R.

AU - Marcellin, Michael W.

N1 - Funding Information: Manuscript received April 6, 1994; revised September 5, 1994. This work was supported by SAIC and by the National Science Foundation under Grant no. NCR-9258374. Portions of this work were presented at the 1994 IEEE International Conference on Acoustics, Speech, and Signal Processing, Adelaide, Australia, April 1994. The associate editor coordinating the review of this paper and approving it for publication was Prof. Nikolas P. Galatsanos.

PY - 1995/8

Y1 - 1995/8

N2 - 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.

AB - 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.

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UR - https://www.scopus.com/pages/publications/0029357219#tab=citedBy

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DO - 10.1109/83.403413

M3 - Article

AN - SCOPUS:0029357219

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EP - 1069

JO - IEEE Transactions on Image Processing

JF - IEEE Transactions on Image Processing

IS - 8

ER -

Image Coding Using Adaptive Recursive Interpolative DPCM

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