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^*

^*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

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].

Original language	English
Title of host publication	2014 Asia-Pacific Signal and Information Processing Association Annual Summit and Conference, APSIPA 2014
Publisher	Institute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)	9786163618238
DOIs	https://doi.org/10.1109/APSIPA.2014.7041765
Publication status	Published - 2014 Feb 12
Externally published	Yes
Event	2014 Asia-Pacific Signal and Information Processing Association Annual Summit and Conference, APSIPA 2014 - Chiang Mai, Thailand Duration: 2014 Dec 9 → 2014 Dec 12

Publication series

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

Other

Other	2014 Asia-Pacific Signal and Information Processing Association Annual Summit and Conference, APSIPA 2014
Country/Territory	Thailand
City	Chiang Mai
Period	2014/12/09 → 2014/12/12

ASJC Scopus subject areas

Signal Processing
Information Systems

Access to Document

10.1109/APSIPA.2014.7041765

Cite this

Lin, G. S., Nguyen, M. T., Yeh, C. H., & Lin, C. Y. (2014). An adaptive-window-based image dehazing method. In 2014 Asia-Pacific Signal and Information Processing Association Annual Summit and Conference, APSIPA 2014 Article 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 et al.
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).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Lin, GS, Nguyen, MT, Yeh, CH & Lin, CY 2014, An adaptive-window-based image dehazing method. in 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, Thailand, 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. In 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 et al. / 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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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

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