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 .
The experimental result
Paper link: http://ieeexplore.ieee.org/xpl/articleDetails.jsp?arnumber=7041765
PDF file: please email to me ([email protected])
The paper was published on The 2014 Asia-Pacific Signal and Information Processing Association Annual Summit and Conference (APSIPA) in Siem Reap, 2014.
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