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Impact of Low Resolution on Image Recognition with Deep Neural Networks: An Experimental Study Cover

Impact of Low Resolution on Image Recognition with Deep Neural Networks: An Experimental Study

International Journal of Applied Mathematics and Computer Science
Volume 28 (2018): Issue 4 (December 2018)
By: Michał Koziarski and  Bogusław Cyganek  
Open Access
|Jan 2019

Authors

Michał Koziarski

michal.koziarski@agh.edu.pl

Department of Electronics AGH University of Science and Technology, Al. Mickiewicza 30, 30-059, Kraków, Poland

Bogusław Cyganek

Department of Electronics AGH University of Science and Technology, Al. Mickiewicza 30, 30-059, Kraków, Poland
DOI: https://doi.org/10.2478/amcs-2018-0056 | Journal eISSN: 2083-8492 | Journal ISSN: 1641-876X
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Language: English
Page range: 735 - 744
Submitted on: Dec 5, 2017
|
Accepted on: Apr 12, 2018
|
Published on: Jan 11, 2019
Published by: University of Zielona Góra
In partnership with: Paradigm Publishing Services
Publication frequency: 4 issues per year
Keywords:
image recognition,
deep neural networks,
convolutional neural networks,
low resolution,
super-resolution
Related subjects:
Mathematics,
Applied mathematics

© 2019 Michał Koziarski, Bogusław Cyganek, published by University of Zielona Góra
This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 License.

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