feature-preserving interpolative vector quantization

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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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  -