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Proceedings Paper

An improved dehazing algorithm of aerial high-definition image
Author(s): Wentao Jiang; Ming Ji; Xiying Huang; Chao Wang; Yizhou Yang; Tao Li; Jiaoying Wang; Ying Zhang
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Paper Abstract

For unmanned aerial vehicle(UAV) images, the sensor can not get high quality images due to fog and haze weather. To solve this problem, An improved dehazing algorithm of aerial high-definition image is proposed. Based on the model of dark channel prior, the new algorithm firstly extracts the edges from crude estimated transmission map and expands the extracted edges. Then according to the expended edges, the algorithm sets a threshold value to divide the crude estimated transmission map into different areas and makes different guided filter on the different areas compute the optimized transmission map. The experimental results demonstrate that the performance of the proposed algorithm is substantially the same as the one based on dark channel prior and guided filter. The average computation time of the new algorithm is around 40% of the one as well as the detection ability of UAV image is improved effectively in fog and haze weather.

Paper Details

Date Published: 26 January 2016
PDF: 9 pages
Proc. SPIE 9796, Selected Papers of the Photoelectronic Technology Committee Conferences held November 2015, 97962T (26 January 2016); doi: 10.1117/12.2229845
Show Author Affiliations
Wentao Jiang, Xi'an Institute of Applied Optics (China)
Ming Ji, Xi'an Institute of Applied Optics (China)
Xiying Huang, Xi’an Institute of Applied Optics (China)
Chao Wang, Xi’an Institute of Applied Optics (China)
Yizhou Yang, Xi'an Institute of Applied Optics (China)
Tao Li, Xi'an Institute of Applied Optics (China)
Jiaoying Wang, Xi’an Institute of Applied Optics (China)
Ying Zhang, Xi’an Institute of Applied Optics (China)


Published in SPIE Proceedings Vol. 9796:
Selected Papers of the Photoelectronic Technology Committee Conferences held November 2015
Weimin Bao; Yueguang Lv, Editor(s)

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