title: |
feature-preserving interpolative vector quantization |
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publication: |
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part of series: |
Advances in Intelligent Systems Research | |
ISBN: |
978-90-78677-01-7 | |
ISSN: |
1951-6851 | |
DOI: |
doi:10.2991/jcis.2006.4 (how to use a DOI) | |
author(s): |
Wu-Ja Lin, Wei-Yu Han, Lee Yen-Po, Wu Kuang-Shyr |
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corresponding author: |
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publication date: |
October 2006 |
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keywords: |
feature-preserving, interpolative vector quantization, mean, variance, average radius |
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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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copyright: |
©
Atlantis Press. This article is distributed under the
terms of the Creative Commons Attribution License, which permits
non-commercial use, distribution and reproduction in any medium,
provided the original work is properly cited. |
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full text: |