Rain removal using single image based on non-negative matrix factorization

Pin Hsian Liu, Chih Yang Lin, Chia Hung Yeh, Li Wei Kang, Kyle Shih Huang Lo, Tai Hwei Hwang, Chia Chen Kuo

研究成果: 書貢獻/報告類型會議論文篇章

摘要

Rain streak in an image can degrade the human vision, as well as the image's quality. However, the rain removal of a single image is a challenging problem, because the rain is moving fast and may become torrential. In this paper, a single image rain removal process based on the non-negative matrix factorization is proposed. In the proposed method, the rain image is decomposed into a low-frequency part and a high-frequency part by a Gaussian filter. Therefore, the rain component, which is usually in the middle frequency, could be discarded in high and low frequency domains. In this paper, the non-negative matrix factorization (NMF) method is applied to deal with the rain streak in the low frequency; while in the high frequency part, the concept of Canny edge detection and block copy strategy are utilized separately to remove the rain hidden in high frequency and improve the image quality. By comparing with the state-of-the-art approaches, our proposed method does not need the extra image database to train the desirable dictionary, but still reaches similar results.

原文英語
主出版物標題Intelligent Systems and Applications - Proceedings of the International Computer Symposium, ICS 2014
編輯William Cheng-Chung Chu, Stephen Jenn-Hwa Yang, Han-Chieh Chao
發行者IOS Press
頁面1137-1146
頁數10
ISBN(電子)9781614994831
DOIs
出版狀態已發佈 - 2015
對外發佈
事件International Computer Symposium, ICS 2014 - Taichung, 臺灣
持續時間: 2014 12月 122014 12月 14

出版系列

名字Frontiers in Artificial Intelligence and Applications
274
ISSN(列印)0922-6389

其他

其他International Computer Symposium, ICS 2014
國家/地區臺灣
城市Taichung
期間2014/12/122014/12/14

ASJC Scopus subject areas

  • 人工智慧

指紋

深入研究「Rain removal using single image based on non-negative matrix factorization」主題。共同形成了獨特的指紋。

引用此