A multi-focus image quality assessment method based on MMEC

A multi-focus image quality assessment method based on MMEC | Research Square window.SnipcartSettings = { analytics: { enabled: false } }; (function() { var accessVector = localStorage.getItem('access_vector') || ''; window.dataLayer = window.dataLayer || []; if (accessVector) { window.dataLayer.push({ user: { profile: { profileInfo: { snid: accessVector } } } }); } })(); (function(w,d,s,l,i){w[l]=w[l]||[];w[l].push({'gtm.start':new Date().getTime(),event:'gtm.js'});var f=d.getElementsByTagName(s)[0],j=d.createElement(s),dl=l!='dataLayer'?'&l='+l:'';j.async=true;j.src='https://www.googletagmanager.com/gtm.js?id='+i+dl;f.parentNode.insertBefore(j,f);})(window,document,'script','dataLayer','GTM-K279D39R'); Browse Preprints In Review Journals COVID-19 Preprints AJE Video Bytes Research Tools Research Promotion AJE Professional Editing AJE Rubriq About Preprint Platform In Review Editorial Policies Our Team Advisory Board Help Center Sign In Submit a Preprint Cite Share Download PDF Research Article A multi-focus image quality assessment method based on MMEC Weitong Li This is a preprint; it has not been peer reviewed by a journal. https://doi.org/ 10.21203/rs.3.rs-4303061/v1 This work is licensed under a CC BY 4.0 License Status: Posted Version 1 posted You are reading this latest preprint version Abstract Due to the complexity of fused images, a single metric cannot provide a comprehensive assessment in all cases. In this paper, an evaluation method based on MMEC (Multi-Metric Extraction and Combination) is proposed. Firstly, the principle of Local and Global Consistency (LGC) is proposed. Secondly, this principle is used to extract metrics from the Total Metric Set (TMS) to form a Suitable Metric Set (SMS). Then, the mapping conditions of the composite metrics are studied. Finally, a combination mapping is constructed to convert multiple metrics into a scalar for objective evaluation. Experiments on five sets of images show that our method is consistent with the Human Visual System (HVS). IQA metric extraction combination mapping image fusion Full Text Cite Share Download PDF Status: Posted Version 1 posted You are reading this latest preprint version Research Square lets you share your work early, gain feedback from the community, and start making changes to your manuscript prior to peer review in a journal. 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Also discoverable on Platform About Our Team In Review Editorial Policies Advisory Board Help Center Resources Author Services Accessibility API Access RSS feed Manage Cookie Preferences © Research Square 2026 | ISSN 2693-5015 (online) Privacy Policy Terms of Service Do Not Sell My Personal Information {"props":{"pageProps":{"initialData":{"identity":"rs-4303061","acceptedTermsAndConditions":true,"allowDirectSubmit":true,"archivedVersions":[],"articleType":"Research Article","associatedPublications":[],"authors":[{"id":495590528,"identity":"94b61a7f-4c21-4c7f-a2a0-521d6f6c3bfd","order_by":0,"name":"Weitong Li","email":"data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAZAAAAAyAQMAAABI0h/eAAAABlBMVEX///8AAABVwtN+AAAACXBIWXMAAA7EAAAOxAGVKw4bAAAAsklEQVRIiWNgGAWjYBACPiA+8KHCRo6Nvf0AcVrYGJgZD844k2bMx3MmgWgtzId5Ww4nzpNwMCBSi0T+gcO8DYfT2yQYEhh+VGwjRksyw8G5O9Jz26QbDzD2nLlNhBbpZIYDb89Y57bJHEhgZmwjVgtvG3M6m0SCAfFaDvK2OSeQoEX+sQEokA3bgIF8kCi/8PMcfPwBGJXy8u3tBx/8qCBCCwo4QKL6UTAKRsEoGAW4AACYPjyoA3VUSwAAAABJRU5ErkJggg==","orcid":"https://orcid.org/0000-0002-3219-5207","institution":"Guangdong University of Technology","correspondingAuthor":true,"prefix":"","firstName":"Weitong","middleName":"","lastName":"Li","suffix":""}],"badges":[],"createdAt":"2024-04-22 04:37:21","currentVersionCode":1,"declarations":"","doi":"10.21203/rs.3.rs-4303061/v1","doiUrl":"https://doi.org/10.21203/rs.3.rs-4303061/v1","draftVersion":[],"editorialEvents":[],"editorialNote":"","failedWorkflow":false,"files":[{"id":89269150,"identity":"a2e892c3-d1c3-4215-ab95-53b9a5a106e8","added_by":"auto","created_at":"2025-08-18 08:36:14","extension":"pdf","order_by":1,"title":"","display":"","copyAsset":false,"role":"manuscript-pdf","size":450525,"visible":true,"origin":"","legend":"","description":"","filename":"Amultifocusimageperformanceevaluationmethod20240420.pdf","url":"https://assets-eu.researchsquare.com/files/rs-4303061/v1_covered_cf655f3f-872e-4ce7-a35e-3f6bcf419b1e.pdf"}],"financialInterests":"","formattedTitle":"A multi-focus image quality assessment method based on MMEC","fulltext":[],"fulltextSource":"","fullText":"","funders":[],"hasAdminPriorityOnWorkflow":false,"hasManuscriptDocX":false,"hasOptedInToPreprint":true,"hasPassedJournalQc":"","hasAnyPriority":false,"hideJournal":true,"highlight":"","institution":"","isAcceptedByJournal":false,"isAuthorSuppliedPdf":true,"isDeskRejected":"","isHiddenFromSearch":false,"isInQc":false,"isInWorkflow":false,"isPdf":true,"isPdfUpToDate":true,"isWithdrawnOrRetracted":false,"journal":{"display":true,"email":"[email protected]","identity":"researchsquare","isNatureJournal":false,"hasQc":true,"allowDirectSubmit":true,"externalIdentity":"","sideBox":"","snPcode":"","submissionUrl":"/submission","title":"Research Square","twitterHandle":"researchsquare","acdcEnabled":true,"dfaEnabled":false,"editorialSystem":"","reportingPortfolio":"","inReviewEnabled":false,"inReviewRevisionsEnabled":true},"keywords":"IQA, metric extraction, combination mapping, image fusion","lastPublishedDoi":"10.21203/rs.3.rs-4303061/v1","lastPublishedDoiUrl":"https://doi.org/10.21203/rs.3.rs-4303061/v1","license":{"name":"CC BY 4.0","url":"https://creativecommons.org/licenses/by/4.0/"},"manuscriptAbstract":"Due to the complexity of fused images, a single metric cannot provide a comprehensive assessment in all cases. 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