feature-preserving interpolative vector quantization
- 10.2991/jcis.2006.4How to use a DOI?
- feature-preserving, interpolative vector quantization, mean, variance, average radius
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.
- © 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 -