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Neural Computing and Applications

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15-07-2020 | Editorial

Deep learning approaches for real-time image super-resolution

Authors: Pourya Shamsolmoali, M. Emre Celebi, Ruili Wang

Published in: Neural Computing and Applications | Issue 18/2020

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Generating a high-resolution (HR) image from its corresponding low-resolution (LR) input is referred to image super-resolution (SR). Generally, HR images contain higher pixel densities and more details in comparison with LR images. Image SR has already shown significant performance in many applications, such as video surveillance, remote sensing, face recognition, and medical images. Benefiting from its broad application prospects, SR has attracted enormous interests and is one of the most interesting and active research topics in image processing and computer vision. …

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Title: Deep learning approaches for real-time image super-resolution
Authors: Pourya Shamsolmoali
M. Emre Celebi
Ruili Wang
Publication date: 15-07-2020
Publisher: Springer London
Published in: Neural Computing and Applications / Issue 18/2020
Print ISSN: 0941-0643
Electronic ISSN: 1433-3058
DOI: https://doi.org/10.1007/s00521-020-05176-z

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