<?xml version="1.0"?>
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                <article article-type="research-article">
                <front>
                    <journal-meta>
                    <journal-id journal-id-type="publisher-id">ei</journal-id>
                    <journal-title>Electronic Imaging</journal-title>
                    <issn pub-type="ppub">2470-1173</issn><issn pub-type="epub">2470-1173</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/EI.2023.35.8.IQSP-303</article-id>
                    <article-id pub-id-type="publisher-id">IQSP-303</article-id>
                    <article-categories>
                        <subj-group>
                        <subject>Article</subject>
                        </subj-group>
                    </article-categories>
                    <title-group>
                        <article-title>A method for evaluating camera auto-focusing performance using a transparent display device</article-title>
                    </title-group><contrib-group content-type="all"><contrib contrib-type="author"><name>
                            <surname>Jeon</surname>
                            <given-names>Seungwan </given-names>
                           </name> <xref ref-type="aff" rid="aff1author1"/></contrib><aff id="aff1author1">Samsung Electronics, Republic of Korea</aff></contrib-group><contrib-group content-type="all"><contrib contrib-type="author"><name>
                            <surname>Park</surname>
                            <given-names>Kichul </given-names>
                           </name> <xref ref-type="aff" rid="aff1author2"/></contrib><aff id="aff1author2">Samsung Electronics, Republic of Korea</aff></contrib-group><contrib-group content-type="all"><contrib contrib-type="author"><name>
                            <surname>Kim</surname>
                            <given-names>Sung-Su </given-names>
                           </name> <xref ref-type="aff" rid="aff1author3"/></contrib><aff id="aff1author3">Samsung Electronics, Republic of Korea</aff></contrib-group><contrib-group content-type="all"><contrib contrib-type="author"><name>
                            <surname>Kim</surname>
                            <given-names>Yitae </given-names>
                           </name> <xref ref-type="aff" rid="aff1author4"/></contrib><aff id="aff1author4">Samsung Electronics, Republic of Korea</aff></contrib-group><abstract>
                    <title>Abstract</title>
                    <p>With the development of various autofocusing (AF) technologies, sensor manufacturers are demanded to evaluate their performance accurately. The basic method of evaluating AF performance is to measure the time to get the refocused image and the sharpness of the image while repeatedly inducing the refocusing process. Traditionally, this process was conducted manually by covering and uncovering an object or sensor repeatedly, which can lead to unreliable results due to the human error and light blocking method. To deal with this problem, we propose a new device and solutions using a transparent display. Our method can provide more reliable results than the existing method by modulating the opacity, pattern, and repetition cycle of the target on the transparent display.</p>
                    </abstract><pub-date>
                        <day>16</day>
                        <month>1</month>
                        <year>2023</year>
                        </pub-date><volume>35</volume>
                    <issue-acronym>IQSP</issue-acronym>
                    <issue-title>Image Quality and System Performance XX</issue-title>
                    <issue>8</issue>
                    <fpage>303-1</fpage>
                    <lpage>303-4</lpage>
                    <permissions>
                         <copyright-statement>© 2023, Society for Imaging Science and Technology</copyright-statement>
                        <copyright-year>2023</copyright-year>
                    </permissions><kwd-group><kwd>CIS</kwd><kwd>Chart</kwd><kwd>Phase detection</kwd><kwd>Image quality assessment</kwd><kwd>Auto exposure</kwd><kwd>Automatic white balance</kwd></kwd-group></article-meta>
                </front>
                </article>