ICRICS: Iterative Compensation Recovery for Image Compressive Sensing

ICRICS: Iterative Compensation Recovery for Image Compressive Sensing | 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 ICRICS: Iterative Compensation Recovery for Image Compressive Sensing Honggui Li, Maria Trocan, Mohamad Sawan, Dimitri Galayko This is a preprint; it has not been peer reviewed by a journal. https://doi.org/ 10.21203/rs.3.rs-2310001/v1 This work is licensed under a CC BY 4.0 License Status: Published Journal Publication published 03 Mar, 2023 Read the published version in Signal, Image and Video Processing → Version 1 posted 7 You are reading this latest preprint version Abstract Closed-loop architecture is widely utilized in automatic control systems and attains distinguished dynamic and static performance. However, classical compressive sensing systems employ an open-loop architecture with separated sampling and reconstruction units. Therefore, a method of iterative compensation recovery for image compressive sensing (ICRICS) is proposed by introducing a closed-loop framework into traditional compressive sensing systems. The proposed method depends on any existing approaches and upgrades their reconstruction performance by adding a negative feedback structure. Theoretical analysis of the negative feedback of compressive sensing systems is performed. An approximate mathematical proof of the effectiveness of the proposed method is also provided. Simulation experiments on more than 3 image datasets show that the proposed method is superior to 10 competing approaches in reconstruction performance. The maximum increment of the average peak signal-to-noise ratio is 4.36 dB, and the maximum increment of the average structural similarity is 0.034 based on one dataset. The proposed method based on a negative feedback mechanism can efficiently correct the recovery error in the existing image compressive sensing systems. Image compressive sensing iterative compensation recovery closed-loop negative feedback Full Text Additional Declarations No competing interests reported. Cite Share Download PDF Status: Published Journal Publication published 03 Mar, 2023 Read the published version in Signal, Image and Video Processing → Version 1 posted Editorial decision: Major revision 10 Dec, 2022 Reviews received at journal 06 Dec, 2022 Reviewers agreed at journal 26 Nov, 2022 Reviewers invited by journal 26 Nov, 2022 Editor assigned by journal 25 Nov, 2022 Submission checks completed at journal 25 Nov, 2022 First submitted to journal 24 Nov, 2022 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-2310001","acceptedTermsAndConditions":true,"allowDirectSubmit":false,"archivedVersions":[],"articleType":"Research Article","associatedPublications":[],"authors":[{"id":155180923,"identity":"8a835846-f5ac-4714-a2ad-4879368e38ac","order_by":0,"name":"Honggui Li","email":"data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAZAAAAAyAQMAAABI0h/eAAAABlBMVEX///8AAABVwtN+AAAACXBIWXMAAA7EAAAOxAGVKw4bAAAAtklEQVRIiWNgGAWjYBACAwbmhgMfYGwitTA2HJxBshZmHpK0mPMvbDxs21aX2MDevE2CoeYOYS2WMx42HM5tY0ts4DlWJsFw7BkRDrtxEKSFJ7FBIsdMgrHhMJFaLNskEhvk3xCr5Xxjw2HGNgOgLTxE2wIM5J5zCcZtPGnFFgnHiLLl8OEPP8rqZPvZD2+88aGGCC0MEgkMDIxsDAxsIE4CERoYGPgPAIk/RCkdBaNgFIyCkQoAqYg+DNpHLEIAAAAASUVORK5CYII=","orcid":"","institution":"Yangzhou University","correspondingAuthor":true,"submittingAuthor":false,"prefix":"","firstName":"Honggui","middleName":"","lastName":"Li","suffix":""},{"id":155180924,"identity":"2beec62b-82de-4c7f-8930-2834ecb0b9f2","order_by":1,"name":"Maria Trocan","email":"","orcid":"","institution":"Institut Supérieur d'Électronique de Paris","correspondingAuthor":false,"submittingAuthor":false,"prefix":"","firstName":"Maria","middleName":"","lastName":"Trocan","suffix":""},{"id":155180926,"identity":"7c16d792-2936-48de-9caa-91e409b8c7e7","order_by":2,"name":"Mohamad Sawan","email":"","orcid":"","institution":"Polytechnique Montreal","correspondingAuthor":false,"submittingAuthor":false,"prefix":"","firstName":"Mohamad","middleName":"","lastName":"Sawan","suffix":""},{"id":155180928,"identity":"50d32c26-c339-43a3-b907-66b0bddd7314","order_by":3,"name":"Dimitri Galayko","email":"","orcid":"","institution":"Sorbonne University","correspondingAuthor":false,"submittingAuthor":false,"prefix":"","firstName":"Dimitri","middleName":"","lastName":"Galayko","suffix":""}],"badges":[],"createdAt":"2022-11-24 16:44:23","currentVersionCode":1,"declarations":"","doi":"10.21203/rs.3.rs-2310001/v1","doiUrl":"https://doi.org/10.21203/rs.3.rs-2310001/v1","draftVersion":[],"editorialEvents":[{"content":"https://doi.org/10.1007/s11760-023-02516-z","type":"published","date":"2023-03-03T19:28:58+00:00"}],"editorialNote":"","failedWorkflow":false,"files":[{"id":44721454,"identity":"adf86c6f-b476-4209-85e4-44255c3183c9","added_by":"auto","created_at":"2023-10-16 19:34:02","extension":"pdf","order_by":1,"title":"","display":"","copyAsset":false,"role":"manuscript-pdf","size":1714377,"visible":true,"origin":"","legend":"","description":"","filename":"Manuscript.pdf","url":"https://assets-eu.researchsquare.com/files/rs-2310001/v1_covered_84518c6a-a803-4ad3-992c-dd7f5f1dae79.pdf"}],"financialInterests":"No competing interests reported.","formattedTitle":"ICRICS: Iterative Compensation Recovery for Image Compressive Sensing","fulltext":[],"fulltextSource":"","fullText":"","funders":[],"hasAdminPriorityOnWorkflow":false,"hasManuscriptDocX":false,"hasOptedInToPreprint":true,"hasPassedJournalQc":"","hasAnyPriority":false,"hideJournal":false,"highlight":"","institution":"","isAcceptedByJournal":true,"isAuthorSuppliedPdf":true,"isDeskRejected":"","isHiddenFromSearch":false,"isInQc":false,"isInWorkflow":false,"isPdf":true,"isPdfUpToDate":true,"isWithdrawnOrRetracted":false,"journal":{"display":true,"email":"[email protected]","identity":"signal-image-and-video-processing","isNatureJournal":false,"hasQc":true,"allowDirectSubmit":false,"externalIdentity":"sivp","sideBox":"Learn more about [Signal, Image and Video Processing](http://link.springer.com/journal/11760)","snPcode":"11760","submissionUrl":"https://submission.nature.com/new-submission/11760/3","title":"Signal, Image and Video Processing","twitterHandle":"","acdcEnabled":true,"dfaEnabled":true,"editorialSystem":"em","reportingPortfolio":"Springer Hybrid","inReviewEnabled":true,"inReviewRevisionsEnabled":false},"keywords":"Image compressive sensing, iterative compensation recovery, closed-loop, negative feedback","lastPublishedDoi":"10.21203/rs.3.rs-2310001/v1","lastPublishedDoiUrl":"https://doi.org/10.21203/rs.3.rs-2310001/v1","license":{"name":"CC BY 4.0","url":"https://creativecommons.org/licenses/by/4.0/"},"manuscriptAbstract":"\u003cp\u003eClosed-loop architecture is widely utilized in automatic control systems and attains distinguished dynamic and static performance. 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