Zobrazeno 1 - 6
of 6
pro vyhledávání: '"Phong V. Vu"'
Autor:
Phong V. Vu, Andrea T. Cruz, Daniel M. Rubalcava, Glenda H. Grawe, Bindi Naik-Mathuria, Sara C. Fallon, Jesus A. Correa, Mary L. Brandt, Brent D. Kaziny
Publikováno v:
Journal of Pediatric Surgery. 49:1009-1015
Background The optimal management of children with snake bite injuries is not well defined. The purpose of this study was to review the use of antivenom, diagnostic tests, and antibiotics in children bitten by venomous snakes in a specific geographic
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::bc2faffbd18d7a15b73591758bc4e2de
https://doi.org/10.1016/j.jpedsurg.2014.01.043
https://doi.org/10.1016/j.jpedsurg.2014.01.043
Autor:
Damon M. Chandler, Phong V. Vu
Publikováno v:
IEEE Signal Processing Letters. 19:423-426
In this letter, we present a simple, yet effective wavelet-based algorithm for estimating both global and local image sharpness (FISH, Fast Image Sharpness). FISH operates by first decomposing the input image via a three-level separable discrete wave
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::26fe83f0a4a0108035908a6341c9aae7
https://doi.org/10.1109/lsp.2012.2199980
https://doi.org/10.1109/lsp.2012.2199980
Autor:
Phong V. Vu, Damon M. Chandler
Publikováno v:
SPIE Proceedings.
In this paper, we present a no-reference quality assessment algorithm for JPEG2000-compressed images called EDIQ (EDge-based Image Quality). The algorithm works based on the assumption that the quality of JPEG2000- compressed images can be evaluated
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::ec7796a8720b141c6ad14662899656b8
https://doi.org/10.1117/12.2005420
https://doi.org/10.1117/12.2005420
Publikováno v:
ACSCC
An IQA algorithm that performs well in predicting image quality on current image-quality databases does not guarantee the same success in a coding context. During JPEG2000 encoding, it is possible to generate images with vastly different visual quali
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::9c66699414f0e88560b9bcabe569bedf
https://doi.org/10.1109/acssc.2012.6489017
https://doi.org/10.1109/acssc.2012.6489017
Publikováno v:
ICIP
This paper presents an algorithm for video quality assessment, spatiotemporal MAD (ST-MAD), which extends our previous image-based algorithm (MAD [1]) to take into account visual perception of motion artifacts. ST-MAD employs spatiotemporal “images
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::64d18becbdbc148b9e6898c0f8ed6464
https://doi.org/10.1109/icip.2011.6116171
https://doi.org/10.1109/icip.2011.6116171
Autor:
Damon M. Chandler, Phong V. Vu
Publikováno v:
Journal of Electronic Imaging. 23:013016
Algorithms for video quality assessment (VQA) aim to estimate the qualities of videos in a manner that agrees with human judgments of quality. Modern VQA algorithms often estimate video quality by comparing localized space-time regions or groups of f
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::a65c7e2dbb7ca055a97b91516b406786
https://doi.org/10.1117/1.jei.23.1.013016
https://doi.org/10.1117/1.jei.23.1.013016