Image Quality Enhancement with Machine Learning Based Multi-Step Super-Resolution

Niai Yano, Hiroshi Watanabe

研究成果: Conference contribution

抜粋

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.

元の言語English
ホスト出版物のタイトル2020 International Conference on Artificial Intelligence in Information and Communication, ICAIIC 2020
出版者Institute of Electrical and Electronics Engineers Inc.
ページ141-145
ページ数5
ISBN(電子版)9781728149851
DOI
出版物ステータスPublished - 2020 2
イベント2nd International Conference on Artificial Intelligence in Information and Communication, ICAIIC 2020 - Fukuoka, Japan
継続期間: 2020 2 192020 2 21

出版物シリーズ

名前2020 International Conference on Artificial Intelligence in Information and Communication, ICAIIC 2020

Conference

Conference2nd International Conference on Artificial Intelligence in Information and Communication, ICAIIC 2020
Japan
Fukuoka
期間20/2/1920/2/21

ASJC Scopus subject areas

  • Information Systems and Management
  • Artificial Intelligence
  • Computer Networks and Communications
  • Computer Vision and Pattern Recognition
  • Information Systems
  • Signal Processing

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  • これを引用

    Yano, N., & Watanabe, H. (2020). Image Quality Enhancement with Machine Learning Based Multi-Step Super-Resolution. : 2020 International Conference on Artificial Intelligence in Information and Communication, ICAIIC 2020 (pp. 141-145). [9065207] (2020 International Conference on Artificial Intelligence in Information and Communication, ICAIIC 2020). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ICAIIC48513.2020.9065207