Deep learning approaches for real-time image super-resolution

Pourya Shamsolmoali; M. Emre Celebi; Ruili Wang

doi:10.1007/s00521-020-05176-z

Deep learning approaches for real-time image super-resolution

Pourya Shamsolmoali^*
, M. Emre Celebi
, Ruili Wang

^*Corresponding author for this work

Shanghai Jiao Tong University
Department of Computer Science
University of Central Arkansas
School of Natural and Mathematical Sciences
Massey University

Research output: Contribution to journal › Editorial

9 Scopus citations

Original language	English
Pages (from-to)	14519-14520
Number of pages	2
Journal	Neural Computing and Applications
Volume	32
Issue number	18
DOIs	https://doi.org/10.1007/s00521-020-05176-z
State	Published - 1 Sep 2020
Externally published	Yes

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@article{f41d02d61db9450e8977168881473347,

title = "Deep learning approaches for real-time image super-resolution",

author = "Pourya Shamsolmoali and Celebi, \{M. Emre\} and Ruili Wang",

year = "2020",

month = sep,

day = "1",

doi = "10.1007/s00521-020-05176-z",

language = "英语",

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pages = "14519--14520",

journal = "Neural Computing and Applications",

issn = "0941-0643",

publisher = "Springer Science and Business Media Deutschland GmbH",

number = "18",

}

TY - JOUR

T1 - Deep learning approaches for real-time image super-resolution

AU - Shamsolmoali, Pourya

AU - Celebi, M. Emre

AU - Wang, Ruili

PY - 2020/9/1

Y1 - 2020/9/1

UR - https://www.scopus.com/pages/publications/85087877416

U2 - 10.1007/s00521-020-05176-z

DO - 10.1007/s00521-020-05176-z

M3 - 社论

AN - SCOPUS:85087877416

SN - 0941-0643

VL - 32

SP - 14519

EP - 14520

JO - Neural Computing and Applications

JF - Neural Computing and Applications

IS - 18

ER -

Deep learning approaches for real-time image super-resolution

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