<?xml version="1.0"?>
<!DOCTYPE article PUBLIC "-//NLM//DTD Journal Publishing DTD v2.1 20050630//EN" "http://uploads.ingentaconnect.com/docs/dtd/ingenta-journalpublishing.dtd">
<article article-type="research-article">
  <front>
    <journal-meta>
      <journal-id journal-id-type="aggregator">72010351</journal-id>
      <journal-title>Conference on Colour in Graphics, Imaging, and Vision</journal-title>
      <abbrev-journal-title>conf colour graph imag vis</abbrev-journal-title>
      <issn pub-type="ppub">2158-6330</issn><issn pub-type="epub"/>
      <publisher>
        <publisher-name>Society of Imaging Science and Technology</publisher-name>
        <publisher-loc>7003 Kilworth Lane, Springfield, VA 22151, USA</publisher-loc>
      </publisher>
    </journal-meta>
    <article-meta><article-id pub-id-type="doi">10.2352/CGIV.2008.4.1.art00077</article-id>
      <article-id pub-id-type="sici">2158-6330(20080101)2008:1L.357;1-</article-id>
      <article-id pub-id-type="publisher-id">cgiv_v2008n1/splitsection77.xml</article-id>
      <article-id pub-id-type="other">/ist/cgiv/2008/00002008/00000001/art00077</article-id>
      <article-categories>
        <subj-group>
          <subject>Articles</subject>
        </subj-group>
      </article-categories>
      <title-group>
        <article-title>Multiresolution image VQ compression by color codebook reordering</article-title>
      </title-group>
      <contrib-group>
        <contrib>
          <name>
            <surname>Charrier</surname>
            <given-names>Christophe</given-names>
          </name>
        </contrib>
        <contrib>
          <name>
            <surname>Lezoray</surname>
            <given-names>Olivier</given-names>
          </name>
        </contrib>
      </contrib-group>
      <pub-date>
        <day>01</day>
        <month>01</month>
        <year>2008</year>
      </pub-date>
      <volume>2008</volume>
      <issue>1</issue>
      <fpage>357</fpage>
      <lpage>361</lpage>
      <permissions>
        <copyright-year>2008</copyright-year>
      </permissions>
      <abstract>
        <p>In this paper, a method to reach multiresolution VQ is proposed. A reordering process of color vectors from the codebook is performed. This yields to obtain an index image very close to the initial luminance image that can be obtained from any color image, but at a lower resolution.
 That way, the VQ technique can be applied once again on this new index image. In other words, a hierarchical and multiresolution VQ is defined. At each stage of the VQ compressed image, one is able to reconstruct it using the initial color codebook and the index one.A comparison of the
 proposed method and classical Hierarchical VQ (HVQ) scheme at different compression levels is performed to judge the performance and the robustness of the hybrid method. B oth objective and subjective measures are used.This work is a preliminary work to compress high dimension images at
 different levels.</p>
      </abstract>
    </article-meta>
  </front>
</article>
