Abstract
The fog seriously affects the quality of UAV images and influences the performances of reconnaissance and recognition. In order to improve the effective utilization of UAV images, this paper proposes an UAV image dehazing method based on the optimum of image quality assessment. By the combination of three image quality assessment parameters, including information entropy, standard deviation and image Fourier amplitude, the comprehensive image quality assessment function is established. The best global atomspheric transmission value corresponds to maximum of accessing function. The experiments shows that the UAV image dehazing based on the optimum of image quality assessment has low computational complexity, simple operation and good real-time performance, and the obtained dehazing image has clear visual effects and minor result errors.
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