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

feature-preserving interpolative vector quantization

Authors
Wu-Ja Lin 0, Wei-Yu Han, Lee Yen-Po, Wu Kuang-Shyr
Corresponding Author
Wu-Ja Lin
0Ching Yun University
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DOI
https://doi.org/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.
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Proceedings
9th Joint International Conference on Information Sciences (JCIS-06)
Publication Date
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ISBN
978-90-78677-01-7
DOI
https://doi.org/10.2991/jcis.2006.4How to use a DOI?
Open Access
This is an open access article distributed under the CC BY-NC license.

Cite this article

TY  - CONF
AU  - Wu-Ja Lin
AU  - Wei-Yu Han
AU  - Lee Yen-Po
AU  - Wu Kuang-Shyr
PY  - NaN/NaN
DA  - NaN/NaN
TI  - feature-preserving interpolative vector quantization
BT  - 9th Joint International Conference on Information Sciences (JCIS-06)
PB  - Atlantis Press
UR  - https://doi.org/10.2991/jcis.2006.4
DO  - https://doi.org/10.2991/jcis.2006.4
ID  - LinNaN/NaN
ER  -