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                <front>
                    <journal-meta>
                    <journal-id journal-id-type="publisher-id">cic</journal-id>
                    <journal-title>Color and Imaging Conference</journal-title>
                    <issn pub-type="ppub">2166-9635</issn><issn pub-type="epub">2166-9635</issn>
                    <publisher>
                        <publisher-name>Society for Imaging Science and Technology</publisher-name>
                        <publisher-loc>IS&amp;T 7003 Kilworth Lane, Springfield, VA 22151 USA</publisher-loc>
                    </publisher>
                    </journal-meta>
                    <article-meta>
                    <article-id pub-id-type="doi">10.2352/CIC.2023.31.1.8</article-id>
                    <article-id pub-id-type="publisher-id">8</article-id>
                    <article-categories>
                        <subj-group>
                        <subject>Proceedings Paper</subject>
                        </subj-group>
                    </article-categories>
                    <title-group>
                        <article-title>Development and Testing of Vividness and Depth Model Based on Different Scale Combination</article-title>
                    </title-group><contrib-group content-type="all"><contrib contrib-type="author"><name>
                            <surname>Li</surname>
                            <given-names>Molin </given-names>
                           </name> <xref ref-type="aff" rid="aff1author1"/></contrib><aff id="aff1author1">Zhejiang University, China</aff></contrib-group><contrib-group content-type="all"><contrib contrib-type="author"><name>
                            <surname>Luo</surname>
                            <given-names>Ming Ronnier</given-names>
                           </name> <xref ref-type="aff" rid="aff1author2"/></contrib><aff id="aff1author2">Zhejiang University, China</aff></contrib-group><abstract>
                    <title>Abstract</title>
                    <p>Vividness and Depth are widely used in image and textile industry. And these scales were derived from one-dimensional scales of CIELAB L* and C*ab. However, these scales are limited to relative scales with a reference white, which makes it difficult for them to adapt to the variation in the world. This paper has introduced an experiment that focuses on assessing the wide range of luminance levels in a visual context, ranging from 10 cd/m2 to 10000 cd/m2. The experiment employed a method called magnitude estimation to gauge the perception of Vividness, Depth, Whiteness, and Blackness scales. The judgments were obtained through 10 observer x 40 NCS Sample x 4 lux level x 4 scales x 1.1 (10% repeat set), resulting in a total of 7040 assessments. This article mainly introduces the development of vividness and depth scales using combinations of relative scales, absolute scales, and the mixture scales like CAM16-UCS.</p>
                    </abstract><pub-date>
                        <day>13</day>
                        <month>11</month>
                        <year>2023</year>
                        </pub-date><volume>31</volume>
                    <issue-acronym>CIC</issue-acronym>
                    <issue-title>31st Color and Imaging Conference</issue-title>
                    <issue seq="8">1</issue>
                    <fpage>38</fpage>
                    <lpage>42</lpage>
                    <permissions>
                         <copyright-statement>©2023 Society for Imaging Science and Technology </copyright-statement>
                        <copyright-year>2023</copyright-year>
                    </permissions><kwd-group><kwd>color appearance</kwd><kwd>2-d scale</kwd><kwd>vividness</kwd><kwd>depth</kwd><kwd>magnitude estimation</kwd></kwd-group></article-meta>
                </front>
                </article>