Enhancement of laser noise image based on photorefractive nonlinearity of lithium niobate crystals

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Abstract Enhancement of laser noise image based on stochastic resonance process in lithium niobate crystals is studied theoretically and experimentally in this paper. A noise function based on the refractive change in crystal is proposed for the numerical simulation. The simulation results show that the presence of noise can induce the optical nonlinearity in lithium niobate crystals to change from self-defocusing to self-focusing. Under an appropriate noise intensity, the strongest stochastic resonance process can occur, resulting in restored the image signal submerged by noise eventually. There is a good agreement between the experimental and numerical results. When a single noise image is transmitting in a nonlinear crystal system, the stochastic resonance process is considered to be the result of the self-coupling between the scattered noise and the transmitted signal when the noise and signal are scattered simultaneously in the crystal. The research results in this paper can provide theoretical and experimental guidance for the early acquisition and post-processing of images containing inherent noise, and will promote the industrialization of noise information sensing technology largely.
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Enhancement of laser noise image based on photorefractive nonlinearity of lithium niobate crystals | 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 Enhancement of laser noise image based on photorefractive nonlinearity of lithium niobate crystals Yuzhen Gao, Chengyong Gao, Guangbing Han, Fangxun Bao This is a preprint; it has not been peer reviewed by a journal. https://doi.org/ 10.21203/rs.3.rs-4361969/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 Enhancement of laser noise image based on stochastic resonance process in lithium niobate crystals is studied theoretically and experimentally in this paper. A noise function based on the refractive change in crystal is proposed for the numerical simulation. The simulation results show that the presence of noise can induce the optical nonlinearity in lithium niobate crystals to change from self-defocusing to self-focusing. Under an appropriate noise intensity, the strongest stochastic resonance process can occur, resulting in restored the image signal submerged by noise eventually. There is a good agreement between the experimental and numerical results. When a single noise image is transmitting in a nonlinear crystal system, the stochastic resonance process is considered to be the result of the self-coupling between the scattered noise and the transmitted signal when the noise and signal are scattered simultaneously in the crystal. The research results in this paper can provide theoretical and experimental guidance for the early acquisition and post-processing of images containing inherent noise, and will promote the industrialization of noise information sensing technology largely. Full Text Additional Declarations No competing interests reported. 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-4361969","acceptedTermsAndConditions":true,"allowDirectSubmit":true,"archivedVersions":[],"articleType":"Research Article","associatedPublications":[],"authors":[{"id":300304975,"identity":"4fd6bcb0-b93e-4645-8ef2-fc9d29fbb68f","order_by":0,"name":"Yuzhen Gao","email":"","orcid":"","institution":"Shandong University","correspondingAuthor":false,"prefix":"","firstName":"Yuzhen","middleName":"","lastName":"Gao","suffix":""},{"id":300304976,"identity":"11d2ef08-0cd0-48a8-acae-53c0aeca52d2","order_by":1,"name":"Chengyong Gao","email":"data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAZAAAAAyAQMAAABI0h/eAAAABlBMVEX///8AAABVwtN+AAAACXBIWXMAAA7EAAAOxAGVKw4bAAAAtElEQVRIiWNgGAWjYFACHgaGDwzMIJYB8VoYZ5CshZmHJC3y7mePSdv8sU5sYG/eJsFQc4ewFsMzeWnSuW3piQ08x8okGI49I0LLDB4z6dyGw4kNEjlmEowNh4nUYvEHqEX+DZFa5CWAWhjYQLbwEKnFgCfH2LK3Ld24jSet2CLhGDG2tJ8xvPHjj7VsP/vhjTc+1BBjywEGFgkQgw1EJBDWALSlgYH5AzEKR8EoGAWjYAQDAOkRNCYXeS/0AAAAAElFTkSuQmCC","orcid":"","institution":"Shandong University","correspondingAuthor":true,"prefix":"","firstName":"Chengyong","middleName":"","lastName":"Gao","suffix":""},{"id":300304977,"identity":"0ca90811-3fcf-466a-a8ea-879e965fac7f","order_by":2,"name":"Guangbing Han","email":"","orcid":"","institution":"Shandong University","correspondingAuthor":false,"prefix":"","firstName":"Guangbing","middleName":"","lastName":"Han","suffix":""},{"id":300304978,"identity":"88b0470a-ca15-47c9-83a6-b5b0864ed54b","order_by":3,"name":"Fangxun Bao","email":"","orcid":"","institution":"Shandong University","correspondingAuthor":false,"prefix":"","firstName":"Fangxun","middleName":"","lastName":"Bao","suffix":""}],"badges":[],"createdAt":"2024-05-03 05:09:05","currentVersionCode":1,"declarations":"","doi":"10.21203/rs.3.rs-4361969/v1","doiUrl":"https://doi.org/10.21203/rs.3.rs-4361969/v1","draftVersion":[],"editorialEvents":[],"editorialNote":"","failedWorkflow":false,"files":[{"id":58100638,"identity":"bdb2ed36-9a3c-496a-af3d-209c1dcf17a5","added_by":"auto","created_at":"2024-06-11 06:33:17","extension":"pdf","order_by":1,"title":"","display":"","copyAsset":false,"role":"manuscript-pdf","size":837722,"visible":true,"origin":"","legend":"","description":"","filename":"Enhancementoflasernoiseimagebasedonphotorefractivenonlinearityoflithiumniobatecrystals.pdf","url":"https://assets-eu.researchsquare.com/files/rs-4361969/v1_covered_41f3e8e6-6c44-48b5-9adf-499092fe228f.pdf"}],"financialInterests":"No competing interests reported.","formattedTitle":"Enhancement of laser noise image based on photorefractive nonlinearity of lithium niobate crystals","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":"","lastPublishedDoi":"10.21203/rs.3.rs-4361969/v1","lastPublishedDoiUrl":"https://doi.org/10.21203/rs.3.rs-4361969/v1","license":{"name":"CC BY 4.0","url":"https://creativecommons.org/licenses/by/4.0/"},"manuscriptAbstract":"\u003cp\u003eEnhancement of laser noise image based on stochastic resonance process in lithium niobate crystals is studied theoretically and experimentally in this paper. 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