TY - GEN
T1 - Image Quality Enhancement with Machine Learning Based Multi-Step Super-Resolution
AU - Yano, Niai
AU - Watanabe, Hiroshi
N1 - Publisher Copyright:
© 2020 IEEE.
PY - 2020/2
Y1 - 2020/2
N2 - Machine Learning based Super-Resolution techniques have recently been able to achieve good qualitative results. Convolutional Neural Networks have thus become the basis for recent studies on SR techniques. In this paper, we propose a novel Multi-Step Super-Resolution technique that applies previous methods that achieve good results. We also demonstrate that this proposed method achieves a significant improvement in both subjective visual quality and in reconstruction accuracy, relative to conventional methods.
AB - Machine Learning based Super-Resolution techniques have recently been able to achieve good qualitative results. Convolutional Neural Networks have thus become the basis for recent studies on SR techniques. In this paper, we propose a novel Multi-Step Super-Resolution technique that applies previous methods that achieve good results. We also demonstrate that this proposed method achieves a significant improvement in both subjective visual quality and in reconstruction accuracy, relative to conventional methods.
KW - Convolutional Neural Network
KW - Deep Learing
KW - Example-based Super-Resolution
KW - Multi-Step Super-Resolution
UR - http://www.scopus.com/inward/record.url?scp=85084057046&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85084057046&partnerID=8YFLogxK
U2 - 10.1109/ICAIIC48513.2020.9065207
DO - 10.1109/ICAIIC48513.2020.9065207
M3 - Conference contribution
AN - SCOPUS:85084057046
T3 - 2020 International Conference on Artificial Intelligence in Information and Communication, ICAIIC 2020
SP - 141
EP - 145
BT - 2020 International Conference on Artificial Intelligence in Information and Communication, ICAIIC 2020
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 2nd International Conference on Artificial Intelligence in Information and Communication, ICAIIC 2020
Y2 - 19 February 2020 through 21 February 2020
ER -