<?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-301</article-id>
                    <article-id pub-id-type="publisher-id">IQSP-301</article-id>
                    <article-categories>
                        <subj-group>
                        <subject>Article</subject>
                        </subj-group>
                    </article-categories>
                    <title-group>
                        <article-title>Image demosaicing: Subjective analysis and evaluation of image quality metrics</article-title>
                    </title-group><contrib-group content-type="all"><contrib contrib-type="author"><name>
                            <surname>Ahmed</surname>
                            <given-names>Tawsin Uddin </given-names>
                           </name> <xref ref-type="aff" rid="aff1author1"/></contrib><aff id="aff1author1">Norwegian University of Science and Technology , Norway</aff></contrib-group><contrib-group content-type="all"><contrib contrib-type="author"><name>
                            <surname>Amirshahi</surname>
                            <given-names>Seyed Ali </given-names>
                           </name> <xref ref-type="aff" rid="aff1author2"/></contrib><aff id="aff1author2">Norwegian University of Science and Technology , Norway</aff></contrib-group><contrib-group content-type="all"><contrib contrib-type="author"><name>
                            <surname>Pedersen</surname>
                            <given-names>Marius </given-names>
                           </name> <xref ref-type="aff" rid="aff1author3"/></contrib><aff id="aff1author3">Norwegian University of Science and Technology , Norway</aff></contrib-group><abstract>
                    <title>Abstract</title>
                    <p>Most cameras use a single-sensor arrangement with Color Filter Array (CFA). Color interpolation techniques performed during image demosaicing are normally the reason behind visual artifacts generated in a captured image. While the severity of the artifacts depends on the demosaicing methods used, the artifacts themselves are mainly zipper artifacts (block artifacts across the edges) and false-color distortions. In this study and to evaluate the performance of demosaicing methods, a subjective pair-comparison method with 15 observers was performed on six different methods (namely Nearest Neighbours, Bilinear interpolation, Laplacian, Adaptive Laplacian, Smooth hue transition, and Gradient-Based image interpolation) and nine different scenes. The subjective scores and scene images are then collected as a dataset and used to evaluate a set of no-reference image quality metrics. Assessment of the performance of these image quality metrics in terms of correlation with the subjective scores show that many of the evaluated no-reference metrics cannot predict perceived image quality.</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>301-1</fpage>
                    <lpage>301-6</lpage>
                    <permissions>
                         <copyright-statement>This work is licensed under the Creative Commons Attribution 4.0 International License. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/.</copyright-statement>
                        <copyright-year>2023</copyright-year>
                    </permissions><kwd-group><kwd>Demosaicing</kwd><kwd>image quality</kwd><kwd>Subjective experiment</kwd><kwd>image quality metrics</kwd><kwd>evaluation</kwd></kwd-group></article-meta>
                </front>
                </article>