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Journal of Electronic Imaging

Metadata-assisted nonuniform atmospheric scattering model of image haze removal for medium-altitude unmanned aerial vehicle
Author(s): Chunlei Liu; Wenrui Ding; Hongguang Li; Jiankun Li
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Paper Abstract

Haze removal is a nontrivial work for medium-altitude unmanned aerial vehicle (UAV) image processing because of the effects of light absorption and scattering. The challenges are attributed mainly to image distortion and detail blur during the long-distance and large-scale imaging process. In our work, a metadata-assisted nonuniform atmospheric scattering model is proposed to deal with the aforementioned problems of medium-altitude UAV. First, to better describe the real atmosphere, we propose a nonuniform atmospheric scattering model according to the aerosol distribution, which directly benefits the image distortion correction. Second, considering the characteristics of long-distance imaging, we calculate the depth map, which is an essential clue to modeling, on the basis of UAV metadata information. An accurate depth map reduces the color distortion compared with the depth of field obtained by other existing methods based on priors or assumptions. Furthermore, we use an adaptive median filter to address the problem of fuzzy details caused by the global airlight value. Experimental results on both real flight and synthetic images demonstrate that our proposed method outperforms four other existing haze removal methods.

Paper Details

Date Published: 12 September 2017
PDF: 14 pages
J. Electron. Imag. 26(5) 053009 doi: 10.1117/1.JEI.26.5.053009
Published in: Journal of Electronic Imaging Volume 26, Issue 5
Show Author Affiliations
Chunlei Liu, Beihang Univ. (China)
Wenrui Ding, Beihang Univ. (China)
Wuhan Univ. (China)
Hongguang Li, Beihang Univ. (China)
Jiankun Li, Beihang Univ. (China)

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