Zobrazeno 1 - 5
of 5
pro vyhledávání: '"Efklidis Katsaros"'
Publikováno v:
IEEE Access, Vol 9, Pp 157437-157446 (2021)
Dynamic scene video deblurring is a challenging task due to the spatially variant blur inflicted by independently moving objects and camera shakes. Recent deep learning works bypass the ill-posedness of explicitly deriving the blur kernel by learning
Externí odkaz:
https://doaj.org/article/1af63d3770014729bf1a49f163047378
Publikováno v:
IEEE transactions on image processing : a publication of the IEEE Signal Processing Society. 31
Denoising videos in real-time is critical in many applications, including robotics and medicine, where varying-light conditions, miniaturized sensors, and optics can substantially compromise image quality. This work proposes the first video denoising
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::dcd8a87f2bea67aa2294465ddd18b83f
https://pubmed.ncbi.nlm.nih.gov/35609095
https://pubmed.ncbi.nlm.nih.gov/35609095
Autor:
Efklidis Katsaros, Piotr K. Ostrowski, Krzysztof Włódarczak, Emilia Lewandowska, Jacek Ruminski, Damian Siupka-Mróz, Łukasz Lassmann, Anna Jezierska, Daniel Węsierski
Publikováno v:
Lecture Notes in Computer Science ISBN: 9783031164484
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::54cc39d74b6a9258590e0e185662063d
https://doi.org/10.1007/978-3-031-16449-1_18
https://doi.org/10.1007/978-3-031-16449-1_18
Publikováno v:
HSI
In dentistry, microscopes have become indispensable optical devices for high-quality treatment and micro-invasive surgery, especially in the field of endodontics. Recent machine vision advances enable more advanced, real-time applications including b
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::8798d0a26bf571ec7c84cf9f797a1fe9
https://doi.org/10.1109/hsi52170.2021.9538656
https://doi.org/10.1109/hsi52170.2021.9538656
Publikováno v:
ICPRAM
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::06bb862fd7a82fa817d33134cbab70c6
https://doi.org/10.5220/0008974005180525
https://doi.org/10.5220/0008974005180525