Zobrazeno 1 - 10
of 10
pro vyhledávání: '"Ali Naser Hadi"'
Publikováno v:
Sensors, Vol 23, Iss 6, p 2976 (2023)
In deeper layers, ResNet heavily depends on skip connections and Relu. Although skip connections have demonstrated their usefulness in networks, a major issue arises when the dimensions between layers are not consistent. In such cases, it is necessar
Externí odkaz:
https://doaj.org/article/9a3e3452ab0d4457921455624a299a7b
Publikováno v:
The Journal of Engineering (2019)
In this study, a novel image edge detection technique based on the combination of total variation (TV) and anisotropic diffusion (PM) models is presented. In the proposed technique, the authors first use the gradient magnitude to eliminate the noise,
Externí odkaz:
https://doaj.org/article/6e3a272b4cbe4a3fb7211e8e565198aa
Publikováno v:
The Journal of Engineering (2017)
In this study the authors present a novel image denoising method based on applying adaptive thresholding on partial differential (PDEs) methods. In the proposed method the authors utilise the adaptive thresholding to blend the total variation filter
Externí odkaz:
https://doaj.org/article/e826d5249ea14c1cb139ecd1a087ef15
Publikováno v:
Discrete Dynamics in Nature and Society, Vol 2017 (2017)
In this paper we propose a novel video denoising method based on adaptive thresholding and K-means clustering. In the proposed method the adaptive thresholding is applied rather than the conventional hard-thresholding of the VBM3D method. The adaptiv
Externí odkaz:
https://doaj.org/article/ed2cc73d85654a9b833e9aa529f0f900
Publikováno v:
Multimedia Tools and Applications. 79:20391-20427
Block-matching and 3D filtering algorithm (BM3D) is the current state-of-the-art for image denoising. This algorithm has a high capacity to achieve better noise removal results as compared with other existing algorithms. Nevertheless, there is still
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::e29c69a1171dc2165086b9cbf02729e9
https://doi.org/10.1007/s11042-020-08815-8
https://doi.org/10.1007/s11042-020-08815-8
Publikováno v:
Multimedia Tools and Applications. 78:15545-15573
In this paper, we present a novel image denoising method based on adaptive thresholding and k-means clustering. In this method, we adopt the adaptive thresholding technique as an alternative to the traditional hard-thresholding of the block-matching
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::7690681bcc7a81439fcba07cec023dad
https://doi.org/10.1007/s11042-018-6955-8
https://doi.org/10.1007/s11042-018-6955-8
Publikováno v:
The Journal of Engineering (2017)
In this study the authors present a novel image denoising method based on applying adaptive thresholding on partial differential (PDEs) methods. In the proposed method the authors utilise the adaptive thresholding to blend the total variation filter
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::6f7d29a03bfc1284df1e53d3457d0291
https://doi.org/10.1049/joe.2017.0112
https://doi.org/10.1049/joe.2017.0112
Publikováno v:
The Journal of Engineering (2019)
In this study, a novel image edge detection technique based on the combination of total variation (TV) and anisotropic diffusion (PM) models is presented. In the proposed technique, the authors first use the gradient magnitude to eliminate the noise,
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::11864553fdc42e72720f750ef8e482c0
https://digital-library.theiet.org/content/journals/10.1049/joe.2018.5345
https://digital-library.theiet.org/content/journals/10.1049/joe.2018.5345
Publikováno v:
2017 IEEE 9th International Conference on Communication Software and Networks (ICCSN).
Software Defined Network (SDN) is a revolutionary networking paradigm system in which network control plane is separated from data plane and assigned to a devoted software program called controller running at a control layer. SDN makes networks wholl
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::d521e3f9986fd35cafe3dd525ca896ab
https://doi.org/10.1109/iccsn.2017.8230351
https://doi.org/10.1109/iccsn.2017.8230351
Publikováno v:
Discrete Dynamics in Nature and Society, Vol 2017 (2017)
In this paper we propose a novel video denoising method based on adaptive thresholding and K-means clustering. In the proposed method the adaptive thresholding is applied rather than the conventional hard-thresholding of the VBM3D method. The adaptiv
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::f9e3b7be074a6642d7c5b2074ba9753b