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Please use this identifier to cite or link to this item: https://dspace.ncfu.ru/handle/20.500.12258/18160
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dc.contributor.authorLyakhov, P. A.-
dc.contributor.authorЛяхов, П. А.-
dc.contributor.authorValueva, M. V.-
dc.contributor.authorВалуева, М. В.-
dc.date.accessioned2021-09-13T14:17:15Z-
dc.date.available2021-09-13T14:17:15Z-
dc.date.issued2021-
dc.identifier.citationLyakhov, P. A.; Valuev, G. V.; Valueva, M. V.; Kaplun, D. I.; Sinitca, A. M. Single image super-resolution method based on bilinear interpolation and U-Net combination // 2021 10th Mediterranean Conference on Embedded Computing, MECO 2021. - 2021. - Номер статьи 9460201ru
dc.identifier.urihttp://hdl.handle.net/20.500.12258/18160-
dc.description.abstractThe single image super-resolution issue is studied in this paper. We propose a new method based on a combination of bilinear interpolation and the U-Net neural network to solve this problem. The image is enlarged by bilinear interpolation, then its quality is improved by the neural network. This approach allows improving reconstruction quality by 1.00-6.56% compared with known methodsru
dc.language.isoenru
dc.publisherInstitute of Electrical and Electronics Engineers Inc.ru
dc.relation.ispartofseries2021 10th Mediterranean Conference on Embedded Computing, MECO 2021-
dc.subjectInterpolationru
dc.subjectNeural networksru
dc.subjectimage reconstructionru
dc.subjectsuper-resolutionru
dc.titleSingle image super-resolution method based on bilinear interpolation and U-Net combinationru
dc.typeСтатьяru
vkr.instИнститут математики и информационных технологий имени профессора Н.И. Червяковаru
Appears in Collections:Статьи, проиндексированные в SCOPUS, WOS

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