Single image rain removal based on part-based model

Chia Hung Yeh, Pin Hsian Liu, Cheng En Yu, Chih Yang Lin*

*此作品的通信作者

研究成果: 書貢獻/報告類型會議論文篇章

3 引文 斯高帕斯(Scopus)

摘要

There are many outdoor vision applications such as surveillance and navigation. One of the challenges is rain removal, especially the rain removal from a single image. In this paper, a single rain image is divided into the high frequency part and the low frequency part by the Gaussian filter. Non-negative matrix factorization (NMF) is used to remove the rain streaks in the low frequency part. Then, Canny edge detection is applied to deal with the rain in the high frequency and the block copy method is employed to preserve the image quality. After that, we applied a rain dictionary to further divide the high frequency into rain and non-rain parts. The experimental results show that the proposed method is better than the state-of-the-art methods, especially in the high frequency part.

原文英語
主出版物標題2015 IEEE International Conference on Consumer Electronics - Taiwan, ICCE-TW 2015
發行者Institute of Electrical and Electronics Engineers Inc.
頁面462-463
頁數2
ISBN(電子)9781479987443
DOIs
出版狀態已發佈 - 2015 8月 20
對外發佈
事件2nd IEEE International Conference on Consumer Electronics - Taiwan, ICCE-TW 2015 - Taipei, 臺灣
持續時間: 2015 6月 62015 6月 8

出版系列

名字2015 IEEE International Conference on Consumer Electronics - Taiwan, ICCE-TW 2015

其他

其他2nd IEEE International Conference on Consumer Electronics - Taiwan, ICCE-TW 2015
國家/地區臺灣
城市Taipei
期間2015/06/062015/06/08

ASJC Scopus subject areas

  • 人工智慧
  • 電腦網路與通信
  • 電氣與電子工程
  • 儀器
  • 媒體技術

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