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
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.
Copyright
© The authors. This article is distributed under the terms of the Creative Commons Attribution License 4.0, which permits non-commercial use, distribution and reproduction in any medium, provided the original work is properly cited. See for details: https://creativecommons.org/licenses/by-nc/4.0/
Open Access | Under Creative Commons license CC BY-NC 4.0

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@inproceedings{Lin2006,
  title={feature-preserving interpolative vector quantization},
  author={Lin, Wu-Ja and Han, Wei-Yu and Yen-po, Lee and Kuang-shyr, Wu},
  year={2006},
  booktitle={9th Joint International Conference on Information Sciences (JCIS-06)},
  issn={1951-6851},
  isbn={978-90-78677-01-7},
  url={http://dx.doi.org/10.2991/jcis.2006.4},
  doi={10.2991/jcis.2006.4},
  publisher={Atlantis Press}
}
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