Polarization dehazing method of UAV aerial image based on haze density estimation

Maowen Luo; Chao Sun

doi:10.1117/12.3041277

11 September 2024 Polarization dehazing method of UAV aerial image based on haze density estimation

Maowen Luo, Chao Sun

Proceedings Volume 13253, Fourth International Conference on Signal Image Processing and Communication (ICSIPC 2024); 132530M (2024) https://doi.org/10.1117/12.3041277
Event: 4th International Conference on Signal Image Processing and Communication, 2024, Xi'an, China

Abstract

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.

(2024) Published by SPIE. Downloading of the abstract is permitted for personal use only.

Citation Download Citation

Maowen Luo and Chao Sun "Polarization dehazing method of UAV aerial image based on haze density estimation", Proc. SPIE 13253, Fourth International Conference on Signal Image Processing and Communication (ICSIPC 2024), 132530M (11 September 2024); https://doi.org/10.1117/12.3041277

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KEYWORDS

Air contamination

Polarization

Atmospheric modeling

Unmanned aerial vehicles

Transmittance

Image quality

Light scattering

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