Zobrazeno 1 - 3
of 3
pro vyhledávání: '"Ruiki Kobayashi"'
Autor:
Ruiki Kobayashi, Genki Fujii, Yuta Yoshida, Takeru Ota, Fumiaki Nin, Hiroshi Hibino, Samuel Choi, Shunsuke Ono, Shogo Muramatsu
Publikováno v:
IEEE Transactions on Computational Imaging. 8:505-520
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::b8632347c0740e8a2bf9023b1d050784
https://doi.org/10.1109/tci.2022.3183396
https://doi.org/10.1109/tci.2022.3183396
Publikováno v:
2021 36th International Technical Conference on Circuits/Systems, Computers and Communications (ITC-CSCC).
In this study, a novel image restoration method is proposed by introducing a structured convolutional neural network (CNN) in the deep image prior (DIP) framework. CNN has shown significance for image restoration as well as classification. DIP uses C
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::c451eb2acc1e69dcaf1e9952be36f817
https://doi.org/10.1109/itc-cscc52171.2021.9524738
https://doi.org/10.1109/itc-cscc52171.2021.9524738
Autor:
Ruiki Kobayashi, Shogo Muramatsu
This study proposes a convolutional nonlinear dictionary (CNLD) for image restoration using cascaded filter banks. Generally, convolutional neural networks (CNN) demonstrate their practicality in image restoration applications; however, existing CNNs
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::768a43780d8b2bc0cf144965b8555ab5
http://arxiv.org/abs/2009.00831
http://arxiv.org/abs/2009.00831
