Image defogging algorithm based on polarization characteristics of target and atmospheric transmission model

Feng Ling; Yan Zhang; Zhiguang Shi; Jinghua Zhang; Yi Zhang

doi:10.1117/12.2666751

4 April 2023 Image defogging algorithm based on polarization characteristics of target and atmospheric transmission model

Feng Ling, Yan Zhang, Zhiguang Shi, Jinghua Zhang, Yi Zhang

Author Affiliations +

Proceedings Volume 12617, Ninth Symposium on Novel Photoelectronic Detection Technology and Applications; 126176W (2023) https://doi.org/10.1117/12.2666751
Event: 9th Symposium on Novel Photoelectronic Detection Technology and Applications (NDTA 2022), 2022, Hefei, China

Abstract

Aiming at the problem of image quality degradation caused by the scattering of particles in the atmosphere under foggy conditions, a polarization dehazing algorithm combining the target polarization degree and atmospheric transmission model is proposed in this paper. Firstly, a bilateral filtering method combined with image gradient information is proposed to solve four target light intensity images from different angles, and the filtered images are used to solve the polarization degree of the target. This method can preserve the edge texture information of the target in the filtering process and effectively improve the quality of the reconstructed image. Secondly, when estimating the atmospheric light intensity at infinite distance, an alpha filtering method combined with bright channels is proposed to avoid the interference of over-bright noise points in the image. The method can effectively suppress the atmospheric light intensity at infinite distance. By analyzing the experimental data, the average gradient and gray variance of the fog-free reconstructed image are significantly improved compared with the original image. Experimental results show that the proposed algorithm has strong defogging ability, and can effectively improve the image quality of the optical imaging system in foggy scenes, and realize the restoration of

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Feng Ling, Yan Zhang, Zhiguang Shi, Jinghua Zhang, and Yi Zhang "Image defogging algorithm based on polarization characteristics of target and atmospheric transmission model", Proc. SPIE 12617, Ninth Symposium on Novel Photoelectronic Detection Technology and Applications, 126176W (4 April 2023); https://doi.org/10.1117/12.2666751

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KEYWORDS

Polarization

Atmospheric modeling

Image filtering

Image transmission

Image quality

Image enhancement

Image processing

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