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

Niai Yano, Hiroshi Watanabe

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

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.

Original languageEnglish
Title of host publication2020 International Conference on Artificial Intelligence in Information and Communication, ICAIIC 2020
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages141-145
Number of pages5
ISBN (Electronic)9781728149851
DOIs
Publication statusPublished - 2020 Feb
Event2nd International Conference on Artificial Intelligence in Information and Communication, ICAIIC 2020 - Fukuoka, Japan
Duration: 2020 Feb 192020 Feb 21

Publication series

Name2020 International Conference on Artificial Intelligence in Information and Communication, ICAIIC 2020

Conference

Conference2nd International Conference on Artificial Intelligence in Information and Communication, ICAIIC 2020
CountryJapan
CityFukuoka
Period20/2/1920/2/21

Keywords

  • Convolutional Neural Network
  • Deep Learing
  • Example-based Super-Resolution
  • Multi-Step Super-Resolution

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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  • Cite this

    Yano, N., & Watanabe, H. (2020). Image Quality Enhancement with Machine Learning Based Multi-Step Super-Resolution. In 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