Zobrazeno 1 - 4
of 4
pro vyhledávání: '"Reuben Farrugia"'
Autor:
Marc Tanti, Camille Berruyer, Paul Tafforeau, Adrian Muscat, Reuben Farrugia, Kenneth Scerri, Gianluca Valentino, V Armando Solé, Johann A Briffa
Publikováno v:
PLoS ONE, Vol 16, Iss 12, p e0260707 (2021)
Propagation Phase Contrast Synchrotron Microtomography (PPC-SRμCT) is the gold standard for non-invasive and non-destructive access to internal structures of archaeological remains. In this analysis, the virtual specimen needs to be segmented to sep
Externí odkaz:
https://doaj.org/article/745914ac47af4e2390338a829ee13416
Autor:
Reuben Farrugia, Keith George Ciantar, John Abela, Christian Galea, Kenneth Camilleri, Matthew Aquilina
Publikováno v:
Sensors; Volume 23; Issue 1; Pages: 419
To date, the best-performing blind super-resolution (SR) techniques follow one of two paradigms: (A) train standard SR networks on synthetic low-resolution–high-resolution (LR–HR) pairs or (B) predict the degradations of an LR image and then use
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::945930416a3701b0e02092737edc6a83
http://arxiv.org/abs/2211.05018
http://arxiv.org/abs/2211.05018
Autor:
Reuben Farrugia, Christine Guillemot
Publikováno v:
IEEE International Conference on Image Processing
IEEE International Conference on Image Processing, Sep 2016, Phoenix, United States. pp.5
HAL
IEEE International Conference on Image Processing, Sep 2016, Phoenix, United States. pp.5
HAL
International audience; Existing face hallucination methods are optimized to super-resolve uncompressed images and are not able to handle the distortions caused by compression. This work presents a new dictionary construction method which jointly mod
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=dedup_wf_001::842ee71939df4799de4e99a8b8d8c04d
https://hal.inria.fr/hal-01388972
https://hal.inria.fr/hal-01388972