Review of Key Image Denoising Algorithms

Review of Key Image Denoising Algorithms | 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Download PDF Systematic Review Review of Key Image Denoising Algorithms Chirantan Ghosh This is a preprint; it has not been peer reviewed by a journal. https://doi.org/ 10.21203/rs.3.rs-7175017/v2 This work is licensed under a CC BY 4.0 License Status: Posted Version 2 posted You are reading this latest preprint version Show more versions Abstract Images are one of the key sources of visual information and communication. It plays a crucial role in defense, AI, and forensic science, among others. However, it is prone to corruption from various types of noise from varying sources, mainly during acquisition and transmission. It creates artifacts or signal distortion due to statistical variance in easurements of pixel values responsible for contrast, color, or other aspects. Several denoising techniques exist, and many have been proposed to address it, but their performance is debatable. Noise leads to a loss of critical information, primarily in the form of edges, corners, which negatively affects performance. And there is no single, universal perfect solution to this problem. This paper reviews the existing techniques and analyzes the performance of three main techniques, namely Gaussian, linear isotropic, and non-linear isotropic smoothing. After careful examination, it is found that both Linear and Non-Linear smoothing can be an effective solution. Image Denoising Image Smoothing Linear Isotropic Smoothing Non Linear Isotropic Smoothing Full Text Additional Declarations The authors declare no competing interests. Cite Share Download PDF Status: Posted Version 2 posted You are reading this latest preprint version Show more versions 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-7175017","acceptedTermsAndConditions":true,"allowDirectSubmit":true,"archivedVersions":[],"articleType":"Systematic Review","associatedPublications":[],"authors":[{"id":489517027,"identity":"71606739-51ea-4aeb-8dd2-1a003ee5ce51","order_by":0,"name":"Chirantan Ghosh","email":"data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAZAAAAAyAQMAAABI0h/eAAAABlBMVEX///8AAABVwtN+AAAACXBIWXMAAA7EAAAOxAGVKw4bAAAAoklEQVRIiWNgGAWjYDAC9gYGCSDFz8BMtBaeA2Atkg3Ea5FIgGohWgf/zMcHb/Mw2EmYtzM//ECcJbfTkq15GJIlZA6zGUsQpcVAOsdMmoeBuU6CmYeBSC2S578BtdRLALUw/yBOiwQPG1DLYZAWNuJskTiTZmw5x+A4UAubmQVRWvjbDz+88aaiWkKC//DjG0RpgTqPBLWjYBSMglEwCogAANP9IFVQ9rXeAAAAAElFTkSuQmCC","orcid":"https://orcid.org/0000-0001-8316-7583","institution":"eduai","correspondingAuthor":true,"prefix":"","firstName":"Chirantan","middleName":"","lastName":"Ghosh","suffix":""}],"badges":[],"createdAt":"2025-07-21 08:31:38","currentVersionCode":2,"declarations":{"humanSubjects":false,"vertebrateSubjects":false,"conflictsOfInterestStatement":false,"humanSubjectEthicalGuidelines":false,"humanSubjectConsent":false,"humanSubjectClinicalTrial":false,"humanSubjectCaseReport":false,"vertebrateSubjectEthicalGuidelines":false},"doi":"10.21203/rs.3.rs-7175017/v2","doiUrl":"https://doi.org/10.21203/rs.3.rs-7175017/v2","draftVersion":[],"editorialEvents":[],"editorialNote":"","failedWorkflow":false,"files":[{"id":90427509,"identity":"8bad510a-03de-4187-a890-92a32287ffab","added_by":"auto","created_at":"2025-09-02 14:59:01","extension":"pdf","order_by":1,"title":"","display":"","copyAsset":false,"role":"manuscript-pdf","size":2617250,"visible":true,"origin":"","legend":"","description":"","filename":"ReviewofKeyImageDenoisingAlgo.pdf","url":"https://assets-eu.researchsquare.com/files/rs-7175017/v2_covered_9c0d5875-f0e1-4507-9518-03bfec7d4783.pdf"}],"financialInterests":"The authors declare no competing interests.","formattedTitle":"Review of Key Image Denoising Algorithms","fulltext":[],"fulltextSource":"","fullText":"","funders":[],"hasAdminPriorityOnWorkflow":false,"hasManuscriptDocX":false,"hasOptedInToPreprint":true,"hasPassedJournalQc":"","hasAnyPriority":true,"hideJournal":true,"highlight":"","institution":"eduai","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":"Image Denoising, Image Smoothing, Linear Isotropic Smoothing, Non Linear Isotropic Smoothing","lastPublishedDoi":"10.21203/rs.3.rs-7175017/v2","lastPublishedDoiUrl":"https://doi.org/10.21203/rs.3.rs-7175017/v2","license":{"name":"CC BY 4.0","url":"https://creativecommons.org/licenses/by/4.0/"},"manuscriptAbstract":"\u003cp\u003eImages are one of the key sources of visual information and communication. 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