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21 September 2012 Spatially adaptive defogging for enhancement of color and visibility of UAV image
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Abstract
We present a spatially adaptive defogging algorithm for enhancement of color and visibility of unmanned aerial vehicle (UAV) images. It is hard to identify an object of interest from airborne image acquired by a satellite, an airplane, and a UAV because of various atmospheric distortions. For overcoming this problem, the proposed algorithm decomposes the input foggy image into the original fog-free component and the atmospherically distorted component, and then estimates the original image based on the image degradation model. We first generate a normalized image using the maximum value among RGB color channels of a foggy Image. We estimate the atmospheric light in the labeled image. We also generate a modified transmission map using the labeled image and a guided filter. A major contribution of the proposed work is the enhancement of details using a guided filter as well as defogging. We can significantly enhance the visibility of a foggy image by using the estimated atmospheric light and the transmission map. The proposed algorithm can remove foggy components better than existing defogging techniques because the specular component and the labeled image are used.
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Inhye Yoon, Hyuncheol Kim, Jaehyun Im, Jongsoo Bae, Sanghoon Lee, and Joonki Paik "Spatially adaptive defogging for enhancement of color and visibility of UAV image", Proc. SPIE 8399, Visual Information Processing XXI, 83990V (21 September 2012); doi: 10.1117/12.920552; https://doi.org/10.1117/12.920552
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