Deep Learning-based Moiré Pattern Removal from a Single Image: A Survey and Comparative Study

研究成果: 書貢獻/報告類型會議論文篇章

1 引文 斯高帕斯(Scopus)

摘要

Moiré pattern in a single image is common in image visual quality degradation induced by frequency aliasing between cameras and monitors when taking a screen-shot photo. It is mainly resulted from the interference between the pixel grids of the camera sensor and the device screen. However, removal of the Moiré patterns is challenging based on the complex frequency distribution and imbalanced magnitude in color channels. Only a few studies in the literature focused on the solution of Moiré pattern removal from a single image. Traditional studies usually treated the problem as an image denoising problem and applied some filtering or signal decomposition operations based on some image priors (e.g., sparsity). Relying on the rapid development of the deep learning techniques, some deep learning-based approaches of Moiré pattern removal have been presented recently. This paper presents a brief survey and comparative study for the recent deep learning-based research works on Moiré pattern removal and discusses possible further research directions.

原文英語
主出版物標題2020 IEEE International Conference on Consumer Electronics - Taiwan, ICCE-Taiwan 2020
發行者Institute of Electrical and Electronics Engineers Inc.
ISBN(電子)9781728173993
DOIs
出版狀態已發佈 - 2020 九月 28
事件7th IEEE International Conference on Consumer Electronics - Taiwan, ICCE-Taiwan 2020 - Taoyuan, 臺灣
持續時間: 2020 九月 282020 九月 30

出版系列

名字2020 IEEE International Conference on Consumer Electronics - Taiwan, ICCE-Taiwan 2020

會議

會議7th IEEE International Conference on Consumer Electronics - Taiwan, ICCE-Taiwan 2020
國家/地區臺灣
城市Taoyuan
期間2020/09/282020/09/30

ASJC Scopus subject areas

  • 電腦網路與通信
  • 人工智慧
  • 電腦科學應用
  • 訊號處理
  • 電氣與電子工程
  • 儀器

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