Proceedings of the 9th Joint International Conference on Information Sciences (JCIS-06)

feature-preserving interpolative vector quantization

Authors
Wu-Ja Lin1, Wei-Yu Han, Lee Yen-Po, Wu Kuang-Shyr
1Ching Yun University
Corresponding Author
Wu-Ja Lin
Available Online October 2006.
DOI
10.2991/jcis.2006.4How to use a DOI?
Keywords
feature-preserving, interpolative vector quantization, mean, variance, average radius
Abstract

In this paper, a feature-preserving interpolative vector quantization method is proposed to compress images. The proposed method preserves the average color and color contrast on generating the approximation image and preserves mean, variance, and average radius on quantizing the residual image which is generated by subtracting the approximation image from the source image. The experimental results show that the proposed method usually yields satisfactory results.

Copyright
© 2006, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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Volume Title
Proceedings of the 9th Joint International Conference on Information Sciences (JCIS-06)
Series
Advances in Intelligent Systems Research
Publication Date
October 2006
ISBN
978-90-78677-01-7
ISSN
1951-6851
DOI
10.2991/jcis.2006.4How to use a DOI?
Copyright
© 2006, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

Cite this article

TY  - CONF
AU  - Wu-Ja Lin
AU  - Wei-Yu Han
AU  - Lee Yen-Po
AU  - Wu Kuang-Shyr
PY  - 2006/10
DA  - 2006/10
TI  - feature-preserving interpolative vector quantization
BT  - Proceedings of the 9th Joint International Conference on Information Sciences (JCIS-06)
PB  - Atlantis Press
SP  - 17
EP  - 20
SN  - 1951-6851
UR  - https://doi.org/10.2991/jcis.2006.4
DO  - 10.2991/jcis.2006.4
ID  - Lin2006/10
ER  -