D3Net: Joint Demosaicking, Deblurring and Deringing
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F67985556%3A_____%2F21%3A00537610" target="_blank" >RIV/67985556:_____/21:00537610 - isvavai.cz</a>
Result on the web
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DOI - Digital Object Identifier
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Alternative languages
Result language
angličtina
Original language name
D3Net: Joint Demosaicking, Deblurring and Deringing
Original language description
We have proposed a light-weight neural network architecture D3Net for joint demosaicking, deblurring and deringing by unrolling the ADMM optimization method.
Czech name
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Czech description
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Classification
Type
D - Article in proceedings
CEP classification
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OECD FORD branch
20204 - Robotics and automatic control
Result continuities
Project
<a href="/en/project/GA20-27939S" target="_blank" >GA20-27939S: Bayesian methods for non-linear blind inverse problems</a><br>
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)
Others
Publication year
2021
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
2021 25th International Conference on Pattern Recognition (ICPR)
ISBN
978-172818808-9
ISSN
1051-4651
e-ISSN
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Number of pages
8
Pages from-to
8283-8290
Publisher name
IEEE
Place of publication
Piscataway
Event location
Milan
Event date
Jan 10, 2021
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
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