Image Super-Resolution Using Sparse Representation and Novelty Noise Removal Super-Resolution

dc.contributor.authorAhmed, S.H.
dc.contributor.authorKurnaz, S.
dc.contributor.authorMohammed, A.H.
dc.date.accessioned2024-09-29T16:20:48Z
dc.date.available2024-09-29T16:20:48Z
dc.date.issued2020
dc.departmentKarabük Üniversitesien_US
dc.description4th International Symposium on Multidisciplinary Studies and Innovative Technologies, ISMSIT 2020 -- 22 October 2020 through 24 October 2020 -- Istanbul -- 165025en_US
dc.description.abstractThe reconstruction of a composite image with a super-resolution will produce a high-resolution image from a low-resolution picture. Since the super-resolution problem is not well answered, a narrow method of optimizing numeric algorithm is implemented to remove image noise. The total variation of the image is minimized subject to noise statistical constraints. The restrictions are imposed on the use of Lagrange multipliers. The solution is derived from the gradient projection method. It is the solution of a partial differential equation based on time based on several constraints described. As t - ?0o, the solution converges into a continuous image. It is a fast, relatively easy numerical algorithm. The measurements are typically state of the art with very noisy videos. The process is non-invasive, which gives straight boundaries to the picture. A first step to the transfer can be translated. level range of the normal image at a pace equivalent to the level curvature separate from the magnitude of the feature gradient, and a second stage for the return to the boundary point of the picture. © 2020 IEEE.en_US
dc.identifier.doi10.1109/ISMSIT50672.2020.9254763
dc.identifier.isbn978-172819090-7
dc.identifier.scopus2-s2.0-85097667890en_US
dc.identifier.scopusqualityN/Aen_US
dc.identifier.urihttps://doi.org/10.1109/ISMSIT50672.2020.9254763
dc.identifier.urihttps://hdl.handle.net/20.500.14619/9348
dc.indekslendigikaynakScopusen_US
dc.language.isoenen_US
dc.publisherInstitute of Electrical and Electronics Engineers Inc.en_US
dc.relation.ispartof4th International Symposium on Multidisciplinary Studies and Innovative Technologies, ISMSIT 2020 - Proceedingsen_US
dc.relation.publicationcategoryKonferans Öğesi - Uluslararası - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.subjectNovelty Noise Removalen_US
dc.subjectREALen_US
dc.subjectSuper-Resolutionen_US
dc.titleImage Super-Resolution Using Sparse Representation and Novelty Noise Removal Super-Resolutionen_US
dc.typeConference Objecten_US

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