Polarization dehazing method of UAV aerial image based on haze density estimation
Maowen Luo, Chao Sun · 2024
The distribution of haze in UAV aerial haze images is usually inhomogeneous, and the traditional dehazing algorithms that may have some problems such as haze residue or excessive dehazing when processing them, this paper brings up a polarization dehazing method based on the calculation of haze density. Firstly, the minimum RGB color channel map is calculated to establish the haze density distribution map, and the dynamic scattering coefficient is constructed on the basis of the haze density and the transmittance is estimated. Secondly, the local atmospheric polarization degree is automatically estimated by combining the polarization degree and the transmittance, so as to realize the accurate separation of the atmospheric scattered light. Then, a two-scale correction method based on the detection of highlight regions is applied with the transmission for the image which contains highlight regions. Finally, the clear image is acquired by transforming atmospheric scattering model. The results of experiments show that our method can effectively remove the haze in the UAV aerial haze images, and has achieved excellent performance in both subjective evaluation and objective index.