Efficient Image Enhancement Using Beetle Antennae Search Algorithm

Efficient Image Enhancement Using Beetle Antennae Search Algorithm | 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 Efficient Image Enhancement Using Beetle Antennae Search Algorithm Bhavya Duggi, Ameer Tamoor Khan, Shuai Li, Xinwei Cao This is a preprint; it has not been peer reviewed by a journal. https://doi.org/ 10.21203/rs.3.rs-7640896/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 Image enhancement is a crucial process in various fields, including medical imaging, remote sensing, and digital photography. This study explores the application of the Beetle Antennae Search (BAS) algorithm for optimizing image enhancement parameters. The BAS algorithm is compared with the Particle Swarm Optimization (PSO) algorithm to evaluate its effectiveness in improving image quality. The objective is to enhance grayscale images by adjusting parameters such as A, B, C, and K to maximize a fitness function that incorporates edge information and entropy. Experimental results demonstrate that BAS consistently outperforms PSO in terms of convergence speed and image quality metrics, including Peak Signal-to-Noise Ratio (PSNR) and Structural Similarity Index (SSIM). BAS-enhanced images exhibit significant improvements in contrast, brightness, and sharpness, making it a promising tool for image enhancement tasks. Beetle Antenna Search Image Enhancement PSO Optimization Nature-inspired Algorithm Full Text Additional Declarations The authors declare no competing interests. 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. As a division of Research Square Company, we’re committed to making research communication faster, fairer, and more useful. We do this by developing innovative software and high quality services for the global research community. Our growing team is made up of researchers and industry professionals working together to solve the most critical problems facing scientific publishing. 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-7640896","acceptedTermsAndConditions":true,"allowDirectSubmit":true,"archivedVersions":[],"articleType":"Research Article","associatedPublications":[],"authors":[{"id":516565275,"identity":"672c8bf3-25c7-42c3-ae49-46d387b66308","order_by":0,"name":"Bhavya Duggi","email":"data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAZAAAAAyAQMAAABI0h/eAAAABlBMVEX///8AAABVwtN+AAAACXBIWXMAAA7EAAAOxAGVKw4bAAABA0lEQVRIiWNgGAWjYBACAwkwxQzEjA0HP1SA2MwNRGtpfCxxBsRmJFoLA7MBbxsD2Dq8Wsylm59J89RYJ873X9wmITmvNpq/HajlR8U2nFos5xwzk+Y5lp648cbDNonCbcdzZxxmbGDsOXMbt8NuJBgb87AdTtw44yDQlm3HchuAWpgZ2/BpSf9szPMPqoV3zrHc+YS15Bg+5m07nDifv7HZgLehJncDIS2WM3IKH87tSzfeIAEK5GMHcjcCtRzE5xdzifQNB958s5ad33/8wcEPNXW5884fPvjgRwVuLSDAxAMJBxD7MFjkAF71QMD4A0jI94PV1RFSPApGwSgYBSMQAAAUVmUm0CX3CwAAAABJRU5ErkJggg==","orcid":"","institution":"","correspondingAuthor":true,"prefix":"","firstName":"Bhavya","middleName":"","lastName":"Duggi","suffix":""},{"id":516565276,"identity":"a797e895-afa2-4a57-bf2d-ceb19b4855d5","order_by":1,"name":"Ameer Tamoor Khan","email":"","orcid":"","institution":"","correspondingAuthor":false,"prefix":"","firstName":"Ameer","middleName":"Tamoor","lastName":"Khan","suffix":""},{"id":516565277,"identity":"a4856319-0a87-40f9-b505-96ca5392488c","order_by":2,"name":"Shuai Li","email":"","orcid":"","institution":"","correspondingAuthor":false,"prefix":"","firstName":"Shuai","middleName":"","lastName":"Li","suffix":""},{"id":516565278,"identity":"463ba9cc-7da9-4066-9cd3-71bc59312742","order_by":3,"name":"Xinwei Cao","email":"","orcid":"","institution":"","correspondingAuthor":false,"prefix":"","firstName":"Xinwei","middleName":"","lastName":"Cao","suffix":""}],"badges":[],"createdAt":"2025-09-17 13:49:20","currentVersionCode":1,"declarations":{"humanSubjects":false,"vertebrateSubjects":false,"conflictsOfInterestStatement":false,"humanSubjectEthicalGuidelines":false,"humanSubjectConsent":false,"humanSubjectClinicalTrial":false,"humanSubjectCaseReport":false,"vertebrateSubjectEthicalGuidelines":false},"doi":"10.21203/rs.3.rs-7640896/v1","doiUrl":"https://doi.org/10.21203/rs.3.rs-7640896/v1","draftVersion":[],"editorialEvents":[],"editorialNote":"","failedWorkflow":false,"files":[{"id":91595211,"identity":"d06f8ce4-a7c3-4547-baaa-606cb7ac851a","added_by":"auto","created_at":"2025-09-18 07:28:17","extension":"pdf","order_by":1,"title":"","display":"","copyAsset":false,"role":"manuscript-pdf","size":1388028,"visible":true,"origin":"","legend":"","description":"","filename":"BhavyaBASPaper.pdf","url":"https://assets-eu.researchsquare.com/files/rs-7640896/v1_covered_d81c8c68-a126-4412-93cf-cee14f42c328.pdf"}],"financialInterests":"The authors declare no competing interests.","formattedTitle":"\u003cp\u003eEfficient Image Enhancement Using Beetle Antennae Search Algorithm\u003c/p\u003e","fulltext":[],"fulltextSource":"","fullText":"","funders":[],"hasAdminPriorityOnWorkflow":false,"hasManuscriptDocX":false,"hasOptedInToPreprint":true,"hasPassedJournalQc":"","hasAnyPriority":true,"hideJournal":true,"highlight":"","institution":"","isAcceptedByJournal":false,"isAuthorSuppliedPdf":true,"isDeskRejected":"","isHiddenFromSearch":false,"isInQc":false,"isInWorkflow":true,"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":"Beetle Antenna Search, Image Enhancement, PSO, Optimization, Nature-inspired, Algorithm","lastPublishedDoi":"10.21203/rs.3.rs-7640896/v1","lastPublishedDoiUrl":"https://doi.org/10.21203/rs.3.rs-7640896/v1","license":{"name":"CC BY 4.0","url":"https://creativecommons.org/licenses/by/4.0/"},"manuscriptAbstract":"\u003cp\u003eImage enhancement is a crucial process in various fields, including medical imaging, remote sensing, and digital photography. 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