Please use this identifier to cite or link to this item:
https://dspace.ncfu.ru/handle/20.500.12258/18160
Title: | Single image super-resolution method based on bilinear interpolation and U-Net combination |
Authors: | Lyakhov, P. A. Ляхов, П. А. Valueva, M. V. Валуева, М. В. |
Keywords: | Interpolation;Neural networks;image reconstruction;super-resolution |
Issue Date: | 2021 |
Publisher: | Institute of Electrical and Electronics Engineers Inc. |
Citation: | Lyakhov, 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 9460201 |
Series/Report no.: | 2021 10th Mediterranean Conference on Embedded Computing, MECO 2021 |
Abstract: | The 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 methods |
URI: | http://hdl.handle.net/20.500.12258/18160 |
Appears in Collections: | Статьи, проиндексированные в SCOPUS, WOS |
Files in This Item:
File | Size | Format | |
---|---|---|---|
scopusresults 1862 .pdf Restricted Access | 557.2 kB | Adobe PDF | View/Open |
Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.