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Optical Engineering

Segmentation-based image compression
Author(s): Oh-Jin Kwon; Rama Chellappa
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Paper Abstract

A segmentation-based image coding technique is described. Both uniform and textured region extraction algorithms are used for segmentation. Textured regions are reconstructed using 2-D noncausal Gaussian-Markov random field models. Uniform regions are reconstructed using polynomial expansions. An arithmetic coder is used for coding the boundaries of regions. Reasonable quality images are obtained at compression factors of 85:1.

Paper Details

Date Published: 1 July 1993
PDF: 7 pages
Opt. Eng. 32(7) doi: 10.1117/12.142477
Published in: Optical Engineering Volume 32, Issue 7
Show Author Affiliations
Oh-Jin Kwon, Univ. of Maryland (United States)
Rama Chellappa, Univ. of Maryland/College Park (United States)

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