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An Improvement of the VDSR Network for Single Image Super-Resolution by Truncation and Adjustment of the Learning Rate Parameters Cover

An Improvement of the VDSR Network for Single Image Super-Resolution by Truncation and Adjustment of the Learning Rate Parameters

Applied Computer Systems
Volume 24 (2019): Issue 1 (May 2019)
By: Vadim Romanuke  
Open Access
|Jun 2019

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DOI: https://doi.org/10.2478/acss-2019-0008 | Journal eISSN: 2255-8691 | Journal ISSN: 2255-8683
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Language: English
Page range: 61 - 68
Published on: Jun 20, 2019
Published by: Riga Technical University
In partnership with: Paradigm Publishing Services
Publication frequency: Volume open
Keywords:
Bicubic interpolation,
image similarity metrics,
learning rate,
single image super-resolution,
truncated network,
upscaled image,
VDSR network
Related subjects:
Computer sciences,
Artificial intelligence,
Information technology,
Project management,
Software development

© 2019 Vadim Romanuke, published by Riga Technical University
This work is licensed under the Creative Commons Attribution 4.0 License.

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