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                <front>
                    <journal-meta>
                    <journal-id journal-id-type="publisher-id">archiving</journal-id>
                    <journal-title>Archiving Conference</journal-title>
                    <issn pub-type="ppub">2161-8798</issn><issn pub-type="epub">2161-8798</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/issn.2168-3204.2023.20.1.19</article-id>
                    <article-id pub-id-type="publisher-id">19</article-id>
                    <article-categories>
                        <subj-group>
                        <subject>Article</subject>
                        </subj-group>
                    </article-categories>
                    <title-group>
                        <article-title>Incorporating High Dynamic Range into Multispectral Imaging for Cultural Heritage Documentation</article-title>
                    </title-group><contrib-group content-type="all"><contrib contrib-type="author"><name>
                            <surname>Brogle</surname>
                            <given-names>Gabrielle </given-names>
                           </name> <xref ref-type="aff" rid="aff1author1"/></contrib><aff id="aff1author1">Rochester Institute of Technology, US</aff></contrib-group><abstract>
                    <title>Abstract</title>
                    <p>The dynamic range that can be captured using traditional image capture devices is limited by their design. While an image sensor cannot capture the entire dynamic range in one exposure that the human eye can see, imaging techniques have been developed to help accomplish this. By incorporating high dynamic range imaging, the range of contrast captured is also increased, helping to improve color accuracy. Cultural heritage institutions face limitations when trying to capture color accurate reproductions of cultural heritage objects and materials. To mitigate this, a team of software engineers at RIT have developed a software application, BeyondRGB, to enable the colorimetric and spectral processing of six-channel spectral images. This work aims to incorporate high dynamic range imaging into the BeyondRGB computational pipeline to improve color accuracy further.</p>
                    </abstract><pub-date>
                        <day>19</day>
                        <month>06</month>
                        <year>2023</year>
                        </pub-date><volume>20</volume>
                    <issue-acronym>ARCH</issue-acronym>
                    <issue-title>Archiving 2023 Final Program and Proceedings</issue-title>
                    <issue seq="19">1</issue>
                    <fpage>94</fpage>
                    <lpage>96</lpage>
                    <permissions>
                         <copyright-statement>©2023 Society for Imaging Science and Technology</copyright-statement>
                        <copyright-year>2023</copyright-year>
                    </permissions><kwd-group><kwd>cultural heritage</kwd><kwd>multispectral imaging</kwd></kwd-group></article-meta>
                </front>
                </article>