An adaptive-window-based image dehazing method

Guo Shiang Lin; Minh Tuan Nguyen; Chia Hung Yeh; Chih Yang Lin

doi:10.1109/APSIPA.2014.7041765

An adaptive-window-based image dehazing method

Guo Shiang Lin, Minh Tuan Nguyen, Chia Hung Yeh, 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

摘要

In this paper, we propose a adaptive-window-based dehazing method for hazy images. The proposed method is composed of four parts: dark channel measurement, bilateral filtering, atmosphere light and transmission map estimation, and scene radiance recovery. Dissimilar to existing methods, we proposed an adaptive-window-based algorithm to obtain the dark channel. Experimental results demonstrate that the proposed adaptive-window-based method can reduce blocking artifacts in dehazing images and maintain the visual quality of dehazed images high. In addition, the proposed method is faster than the existing method [2].

原文	英語
主出版物標題	2014 Asia-Pacific Signal and Information Processing Association Annual Summit and Conference, APSIPA 2014
發行者	Institute of Electrical and Electronics Engineers Inc.
ISBN（電子）	9786163618238
DOIs	https://doi.org/10.1109/APSIPA.2014.7041765
出版狀態	已發佈 - 2014 2月 12
對外發佈	是
事件	2014 Asia-Pacific Signal and Information Processing Association Annual Summit and Conference, APSIPA 2014 - Chiang Mai, 泰国持續時間: 2014 12月 9 → 2014 12月 12

出版系列

名字	2014 Asia-Pacific Signal and Information Processing Association Annual Summit and Conference, APSIPA 2014

其他

其他	2014 Asia-Pacific Signal and Information Processing Association Annual Summit and Conference, APSIPA 2014
國家/地區	泰国
城市	Chiang Mai
期間	2014/12/09 → 2014/12/12

ASJC Scopus subject areas

訊號處理
資訊系統

存取文件

10.1109/APSIPA.2014.7041765

其它文件與鏈接

引用此

Lin, G. S., Nguyen, M. T., Yeh, C. H., & Lin, C. Y. (2014). An adaptive-window-based image dehazing method. 於 2014 Asia-Pacific Signal and Information Processing Association Annual Summit and Conference, APSIPA 2014 文章 7041765 (2014 Asia-Pacific Signal and Information Processing Association Annual Summit and Conference, APSIPA 2014). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/APSIPA.2014.7041765

An adaptive-window-based image dehazing method. / Lin, Guo Shiang; Nguyen, Minh Tuan; Yeh, Chia Hung 等.
2014 Asia-Pacific Signal and Information Processing Association Annual Summit and Conference, APSIPA 2014. Institute of Electrical and Electronics Engineers Inc., 2014. 7041765 (2014 Asia-Pacific Signal and Information Processing Association Annual Summit and Conference, APSIPA 2014).

研究成果: 書貢獻/報告類型 › 會議論文篇章

Lin, GS, Nguyen, MT, Yeh, CH & Lin, CY 2014, An adaptive-window-based image dehazing method. 於 2014 Asia-Pacific Signal and Information Processing Association Annual Summit and Conference, APSIPA 2014., 7041765, 2014 Asia-Pacific Signal and Information Processing Association Annual Summit and Conference, APSIPA 2014, Institute of Electrical and Electronics Engineers Inc., 2014 Asia-Pacific Signal and Information Processing Association Annual Summit and Conference, APSIPA 2014, Chiang Mai, 泰国, 2014/12/09. https://doi.org/10.1109/APSIPA.2014.7041765

Lin GS, Nguyen MT, Yeh CH, Lin CY. An adaptive-window-based image dehazing method. 於 2014 Asia-Pacific Signal and Information Processing Association Annual Summit and Conference, APSIPA 2014. Institute of Electrical and Electronics Engineers Inc. 2014. 7041765. (2014 Asia-Pacific Signal and Information Processing Association Annual Summit and Conference, APSIPA 2014). doi: 10.1109/APSIPA.2014.7041765

Lin, Guo Shiang ; Nguyen, Minh Tuan ; Yeh, Chia Hung 等. / An adaptive-window-based image dehazing method. 2014 Asia-Pacific Signal and Information Processing Association Annual Summit and Conference, APSIPA 2014. Institute of Electrical and Electronics Engineers Inc., 2014. (2014 Asia-Pacific Signal and Information Processing Association Annual Summit and Conference, APSIPA 2014).

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abstract = "In this paper, we propose a adaptive-window-based dehazing method for hazy images. The proposed method is composed of four parts: dark channel measurement, bilateral filtering, atmosphere light and transmission map estimation, and scene radiance recovery. Dissimilar to existing methods, we proposed an adaptive-window-based algorithm to obtain the dark channel. Experimental results demonstrate that the proposed adaptive-window-based method can reduce blocking artifacts in dehazing images and maintain the visual quality of dehazed images high. In addition, the proposed method is faster than the existing method [2].",

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N2 - In this paper, we propose a adaptive-window-based dehazing method for hazy images. The proposed method is composed of four parts: dark channel measurement, bilateral filtering, atmosphere light and transmission map estimation, and scene radiance recovery. Dissimilar to existing methods, we proposed an adaptive-window-based algorithm to obtain the dark channel. Experimental results demonstrate that the proposed adaptive-window-based method can reduce blocking artifacts in dehazing images and maintain the visual quality of dehazed images high. In addition, the proposed method is faster than the existing method [2].

AB - In this paper, we propose a adaptive-window-based dehazing method for hazy images. The proposed method is composed of four parts: dark channel measurement, bilateral filtering, atmosphere light and transmission map estimation, and scene radiance recovery. Dissimilar to existing methods, we proposed an adaptive-window-based algorithm to obtain the dark channel. Experimental results demonstrate that the proposed adaptive-window-based method can reduce blocking artifacts in dehazing images and maintain the visual quality of dehazed images high. In addition, the proposed method is faster than the existing method [2].

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An adaptive-window-based image dehazing method

摘要

出版系列

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