Zobrazeno 1 - 10
of 30
pro vyhledávání: '"Mykola Ponomarenko"'
Publikováno v:
SSP Modern Pharmacy and Medicine. 2:1-15
The COVID-19 pandemic has affected modern trends in the training of doctors and pharmacists and their professional development. At the same time, the pandemic contributed to the development of the science of pharmaceutical law, as a basis for optimiz
Publikováno v:
Image Analysis ISBN: 9783031314346
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::03a0b1945c8c34fb5d719afec878cd8b
https://doi.org/10.1007/978-3-031-31435-3_14
https://doi.org/10.1007/978-3-031-31435-3_14
Autor:
Mykola Ponomarenko, Oleksandr Miroshnichenko, Vladimir Lukin, Sergii Krivenko, Karen Egiazarian
Publikováno v:
Electronic Imaging. 35:299-1
A problem of image denoising when images are corrupted by a non-stationary noise is considered in this paper. Since in practice no a priori information on noise is available, noise statistics should be pre-estimated for image denoising. In this paper
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::eabf1201e78233df614e8a8c542f6a1e
https://trepo.tuni.fi/handle/10024/141990
https://trepo.tuni.fi/handle/10024/141990
Publikováno v:
EUVIP
The paper is devoted to the task of estimation of the parameters of spatially correlated noise and noise suppression in images. Several schemes of noise removal, including multiscale ones, are considered. A convolutional neural network (CNN) for blin
Publikováno v:
Journal of Modern Optics. 66:335-352
This paper introduces a novel lensless full colour diffractive computational imaging system with a planar Multilevel Phase Mask (MPM) as a diffractive optical element (DOE). The novelty concerns: a methodology of MPM design for improved depth of focu
Autor:
Sheyda Ghanbaralizadeh Bahnemiri, Mykola Ponomarenko, Jussi Hakala, Vladimir V. Lukin, Oleg Ieremeiev, Veli-Tapani Peltoketo, Karen Egiazarian
Publikováno v:
EUVIP
The paper describes a new image database HTID for verification and training of no-reference image visual quality metrics. The database contains 2880 color images of size 1536×1024 pixels cropped from the real-life photos produced by the mobile phone
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::abd6c69d2453ee677273cb6a109ff4d1
https://trepo.tuni.fi/handle/10024/145707
https://trepo.tuni.fi/handle/10024/145707
Publikováno v:
Electronic Imaging. 34:219-1
Publikováno v:
Electronic Imaging. 34:152-1
Publikováno v:
Electronic Imaging. 34:218-1